{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import sqlite3\n",
    "import json\n",
    "import csv\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import nltk\n",
    "import string\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "import re\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.naive_bayes import BernoulliNB\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.pipeline import FeatureUnion\n",
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "from wordcloud import WordCloud, STOPWORDS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading data from JSON file "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_json('reviews_merged.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>helpful</th>\n",
       "      <th>overall</th>\n",
       "      <th>reviewText</th>\n",
       "      <th>reviewTime</th>\n",
       "      <th>reviewerID</th>\n",
       "      <th>reviewerName</th>\n",
       "      <th>summary</th>\n",
       "      <th>unixReviewTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[3, 4]</td>\n",
       "      <td>1</td>\n",
       "      <td>Very oily and creamy. Not at all what I expect...</td>\n",
       "      <td>01 30, 2014</td>\n",
       "      <td>A1YJEY40YUW4SE</td>\n",
       "      <td>Andrea</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>1391040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>3</td>\n",
       "      <td>This palette was a decent price and I was look...</td>\n",
       "      <td>04 18, 2014</td>\n",
       "      <td>A60XNB876KYML</td>\n",
       "      <td>Jessica H.</td>\n",
       "      <td>OK Palette!</td>\n",
       "      <td>1397779200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>4</td>\n",
       "      <td>The texture of this concealer pallet is fantas...</td>\n",
       "      <td>09 6, 2013</td>\n",
       "      <td>A3G6XNM240RMWA</td>\n",
       "      <td>Karen</td>\n",
       "      <td>great quality</td>\n",
       "      <td>1378425600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>2</td>\n",
       "      <td>I really can't tell what exactly this thing is...</td>\n",
       "      <td>12 8, 2013</td>\n",
       "      <td>A1PQFP6SAJ6D80</td>\n",
       "      <td>Norah</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>1386460800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>3</td>\n",
       "      <td>It was a little smaller than I expected, but t...</td>\n",
       "      <td>10 19, 2013</td>\n",
       "      <td>A38FVHZTNQ271F</td>\n",
       "      <td>Nova Amor</td>\n",
       "      <td>It's okay.</td>\n",
       "      <td>1382140800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>5</td>\n",
       "      <td>I was very happy to get this palette, now I wi...</td>\n",
       "      <td>04 15, 2013</td>\n",
       "      <td>A3BTN14HIZET6Z</td>\n",
       "      <td>S. M. Randall \"WildHorseWoman\"</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1365984000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[1, 3]</td>\n",
       "      <td>1</td>\n",
       "      <td>PLEASE DONT DO IT! this just rachett the palet...</td>\n",
       "      <td>08 16, 2013</td>\n",
       "      <td>A1Z59RFKN0M5QL</td>\n",
       "      <td>tasha \"luvely12b\"</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1376611200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>2</td>\n",
       "      <td>Chalky,Not Pigmented,Wears off easily,Not a Co...</td>\n",
       "      <td>09 4, 2013</td>\n",
       "      <td>AWUO9P6PL1SY8</td>\n",
       "      <td>TreMagnifique</td>\n",
       "      <td>Chalky, Not Pigmented, Wears off easily, Not a...</td>\n",
       "      <td>1378252800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>2</td>\n",
       "      <td>Did nothing for me. Stings when I put it on. I...</td>\n",
       "      <td>07 13, 2014</td>\n",
       "      <td>A3LMILRM9OC3SA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no Lightening, no Brightening,......NOTHING</td>\n",
       "      <td>1405209600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>3</td>\n",
       "      <td>I bought this product to get rid of the dark s...</td>\n",
       "      <td>12 27, 2013</td>\n",
       "      <td>A30IP88QK3YUIO</td>\n",
       "      <td>Amina Bint Ibraheem</td>\n",
       "      <td>Its alright</td>\n",
       "      <td>1388102400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>3</td>\n",
       "      <td>I have mixed feelings about this product. When...</td>\n",
       "      <td>05 20, 2014</td>\n",
       "      <td>APBQH4BS48CQO</td>\n",
       "      <td>Charmmy</td>\n",
       "      <td>Mixed feelings.</td>\n",
       "      <td>1400544000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>1</td>\n",
       "      <td>Did nothing for my skin. Used as suggested and...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A3FE8W8UV95U6B</td>\n",
       "      <td>Culture C Simmons</td>\n",
       "      <td>Nothing</td>\n",
       "      <td>1392681600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>I bought this product about 3 months ago, I fi...</td>\n",
       "      <td>01 23, 2014</td>\n",
       "      <td>A1EVGDOTGFZOSS</td>\n",
       "      <td>Jessica \"Anarchykisses\"</td>\n",
       "      <td>This works</td>\n",
       "      <td>1390435200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>1</td>\n",
       "      <td>This gell did nothing at all. I religiously pu...</td>\n",
       "      <td>01 11, 2014</td>\n",
       "      <td>AP5WTCMP6DTRV</td>\n",
       "      <td>Layla B</td>\n",
       "      <td>Does nothing</td>\n",
       "      <td>1389398400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>i got this to get rid of a scar and it did jus...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A21IM16PQWKVO5</td>\n",
       "      <td>mdub9922</td>\n",
       "      <td>it works</td>\n",
       "      <td>1392681600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>2</td>\n",
       "      <td>I used it for anal bleaching and it burned a b...</td>\n",
       "      <td>04 6, 2014</td>\n",
       "      <td>A1TLDR1V4O48PK</td>\n",
       "      <td>Mickey O Neil \"Mickey O Neil\"</td>\n",
       "      <td>burns</td>\n",
       "      <td>1396742400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[2, 4]</td>\n",
       "      <td>5</td>\n",
       "      <td>I order this cream along with their soap. It a...</td>\n",
       "      <td>09 14, 2013</td>\n",
       "      <td>A6F8KH0J1AVYA</td>\n",
       "      <td>SanBen</td>\n",
       "      <td>Did work for me</td>\n",
       "      <td>1379116800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[2, 4]</td>\n",
       "      <td>4</td>\n",
       "      <td>Good product. Use a little bit on your spot an...</td>\n",
       "      <td>10 18, 2013</td>\n",
       "      <td>AXPKZA7UZXKTT</td>\n",
       "      <td>Shirleyyy</td>\n",
       "      <td>excellent</td>\n",
       "      <td>1382054400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>3</td>\n",
       "      <td>I didn't use it past a week. The reason why is...</td>\n",
       "      <td>11 1, 2013</td>\n",
       "      <td>A2SIAYDK7GG7QA</td>\n",
       "      <td>theredtranny</td>\n",
       "      <td>weird smell</td>\n",
       "      <td>1383264000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>[24, 24]</td>\n",
       "      <td>5</td>\n",
       "      <td>I haven't been a big fan of Prada's fragrances...</td>\n",
       "      <td>09 19, 2011</td>\n",
       "      <td>A1QV5IH6HDRN0L</td>\n",
       "      <td>armygirl</td>\n",
       "      <td>Love the smell of this!</td>\n",
       "      <td>1316390400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>We gave these as gifts and everyone that recei...</td>\n",
       "      <td>08 10, 2013</td>\n",
       "      <td>A3UQXHI88S7XAX</td>\n",
       "      <td>D. Greene</td>\n",
       "      <td>Happy</td>\n",
       "      <td>1376092800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the first fragrance by Prada that I lo...</td>\n",
       "      <td>11 28, 2011</td>\n",
       "      <td>A2EK2CJNJUF7OQ</td>\n",
       "      <td>Nikki</td>\n",
       "      <td>Very good</td>\n",
       "      <td>1322438400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>[2, 4]</td>\n",
       "      <td>5</td>\n",
       "      <td>So I got this about a month ago. I had no plan...</td>\n",
       "      <td>05 27, 2012</td>\n",
       "      <td>A2GWNGQF9SHRE4</td>\n",
       "      <td>Pholuke \"Lepa Shandy\"</td>\n",
       "      <td>Lurrrrrrrrv.....</td>\n",
       "      <td>1338076800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>This product has a very fruity scent which is ...</td>\n",
       "      <td>02 2, 2013</td>\n",
       "      <td>ABV67T136UXFQ</td>\n",
       "      <td>Sandra</td>\n",
       "      <td>Great Scent</td>\n",
       "      <td>1359763200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>I'm very picky when it comes to fragrance. I l...</td>\n",
       "      <td>03 11, 2014</td>\n",
       "      <td>A2FQZKL2KIZACO</td>\n",
       "      <td>Ellie B.</td>\n",
       "      <td>Spring Garden in a Bottle</td>\n",
       "      <td>1394496000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>3</td>\n",
       "      <td>bright crystals reminds me of Victoria Secrets...</td>\n",
       "      <td>12 19, 2011</td>\n",
       "      <td>A312RDWQYLAG7S</td>\n",
       "      <td>ltg</td>\n",
       "      <td>fresh smell</td>\n",
       "      <td>1324252800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>Got this product and I never heard of this so ...</td>\n",
       "      <td>09 8, 2013</td>\n",
       "      <td>A3TYR1ALBZ2EU9</td>\n",
       "      <td>Mananagirl6</td>\n",
       "      <td>My new smell!</td>\n",
       "      <td>1378598400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a beautiful perfume! Nice, clean scent...</td>\n",
       "      <td>02 2, 2014</td>\n",
       "      <td>AUYVMLI0CBMYS</td>\n",
       "      <td>Shay1234</td>\n",
       "      <td>One of my favs!</td>\n",
       "      <td>1391299200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>[1, 2]</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the real Versace Bright Crystal fragra...</td>\n",
       "      <td>02 14, 2014</td>\n",
       "      <td>A2H0VDRANZMGGX</td>\n",
       "      <td>Shoe luva</td>\n",
       "      <td>Smells clean</td>\n",
       "      <td>1392336000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>3</td>\n",
       "      <td>I love it! and will continue using it but it's...</td>\n",
       "      <td>02 12, 2014</td>\n",
       "      <td>A2MZDI3I5AEL74</td>\n",
       "      <td>Y. Siani \"I love nini\"</td>\n",
       "      <td>Love the smell but a shame it's not last as long</td>\n",
       "      <td>1392163200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477149</th>\n",
       "      <td>B00KA602SY</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>I really like this shirt, very comfortable and...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>ANNHM5C3DX72Q</td>\n",
       "      <td>Tracey Simmons</td>\n",
       "      <td>Very nice</td>\n",
       "      <td>1403395200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477150</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>2</td>\n",
       "      <td>For tiny teenagers.</td>\n",
       "      <td>07 20, 2014</td>\n",
       "      <td>A2FENE35P9Z592</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Teeny pants</td>\n",
       "      <td>1405814400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477151</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>4</td>\n",
       "      <td>Like these pants, 1st time I wore them I rippe...</td>\n",
       "      <td>06 6, 2014</td>\n",
       "      <td>AODACROYFBAY</td>\n",
       "      <td>Denise M Nelson</td>\n",
       "      <td>fabric is thin</td>\n",
       "      <td>1402012800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477152</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>3</td>\n",
       "      <td>I should have waited until I owned the first p...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A3O26N290U3VI0</td>\n",
       "      <td>Khouri</td>\n",
       "      <td>so, this is weird</td>\n",
       "      <td>1404691200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477153</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>Arrived with what looked like a bleach stain o...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A15WDJOU6B9FLQ</td>\n",
       "      <td>L. Atwood \"Bothell\"</td>\n",
       "      <td>Stained</td>\n",
       "      <td>1403481600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477154</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>2</td>\n",
       "      <td>Trying to decide if return or just give away t...</td>\n",
       "      <td>06 5, 2014</td>\n",
       "      <td>AG5N21TGDQWRJ</td>\n",
       "      <td>Lori Mohler</td>\n",
       "      <td>just too small</td>\n",
       "      <td>1401926400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477155</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a (2) pack of balcalavas that can be c...</td>\n",
       "      <td>06 27, 2014</td>\n",
       "      <td>A12DQZKRKTNF5E</td>\n",
       "      <td>Andrea Polk</td>\n",
       "      <td>Quality set with multiple configurations</td>\n",
       "      <td>1403827200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477156</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>I really wish I had these a few months ago whe...</td>\n",
       "      <td>06 7, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>I&amp;#8217;m ready for another frigid blast (or a...</td>\n",
       "      <td>1402099200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477157</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>5</td>\n",
       "      <td>If you are an outdoor person and are outdoors ...</td>\n",
       "      <td>06 4, 2014</td>\n",
       "      <td>ABDR6IJ93HFIO</td>\n",
       "      <td>Daisy \"Daisy S\"</td>\n",
       "      <td>Wonderful for one who is outdoors in cold weat...</td>\n",
       "      <td>1401840000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477158</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[4, 5]</td>\n",
       "      <td>5</td>\n",
       "      <td>l  know now just what I am going as for Hallow...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A3BFDEBT5IV4UN</td>\n",
       "      <td>Dianne E. Socci-Tetro \"Never Judge a Book by ...</td>\n",
       "      <td>Look Mom I'm a Ninja...No, I'm a Motorcycle  M...</td>\n",
       "      <td>1402876800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477159</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[4, 5]</td>\n",
       "      <td>4</td>\n",
       "      <td>I go walking a lot in all kinds of weather and...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Great for Winter or Chilly Walks</td>\n",
       "      <td>1402876800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477160</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[4, 7]</td>\n",
       "      <td>5</td>\n",
       "      <td>This two pack of Balaclavas makes for a very n...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ABUE0ALHKWKHC</td>\n",
       "      <td>Kiwi</td>\n",
       "      <td>Nice soft protection from the elements.....</td>\n",
       "      <td>1402272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477161</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[5, 6]</td>\n",
       "      <td>5</td>\n",
       "      <td>Well, the first thing I did was try the balacl...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A1PI8VBCXXSGC7</td>\n",
       "      <td>Lynn</td>\n",
       "      <td>Love that my ears have two layers of protectio...</td>\n",
       "      <td>1402617600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477162</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>5</td>\n",
       "      <td>While balaclavas can be used for a variety of ...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A2XX2A4OJCDNLZ</td>\n",
       "      <td>RatherLiveInKeyWest</td>\n",
       "      <td>Balaclava 2 Pack - Black - Tan - 100% Polyeste...</td>\n",
       "      <td>1402617600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477163</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[7, 8]</td>\n",
       "      <td>5</td>\n",
       "      <td>This is truly a year round product. Here in th...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A2YKWYC3WQJX5J</td>\n",
       "      <td>Shannon Lastowski \"Queen of Caffeine\"</td>\n",
       "      <td>Fits under even a tight helmet</td>\n",
       "      <td>1403308800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477164</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>4</td>\n",
       "      <td>Nice material, but not as nice as  silk or mer...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A3UJRNI8UR4871</td>\n",
       "      <td>Wulfstan \"wulfstan\"</td>\n",
       "      <td>Lightweight &amp; useful</td>\n",
       "      <td>1402272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477165</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>2</td>\n",
       "      <td>These were a free sample for review.  I was ex...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A34BZM6S9L7QI4</td>\n",
       "      <td>Candy Cane \"Is it just me?\"</td>\n",
       "      <td>Wanted to love these</td>\n",
       "      <td>1403308800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477166</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>My stepmother does yoga in bare feet or regula...</td>\n",
       "      <td>07 3, 2014</td>\n",
       "      <td>A4WEZJOIZIV4U</td>\n",
       "      <td>Chuck Bittner \"Disabled comedian &amp; gamer!\"</td>\n",
       "      <td>My stepmother was impressed with the extra grip.</td>\n",
       "      <td>1404345600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477167</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>These socks are very nicely made and quite com...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>A bit fussy to get on, but they work very well</td>\n",
       "      <td>1403395200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477168</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>You don&amp;#8217;t have to be a yoga or martial a...</td>\n",
       "      <td>07 5, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>Very nice, comfortable non-slip socks for yoga...</td>\n",
       "      <td>1404518400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477169</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>These are cozy and complements well for yoga. ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2NOW4U7W3F7RI</td>\n",
       "      <td>rpv</td>\n",
       "      <td>Cozy!</td>\n",
       "      <td>1403568000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477170</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>I really hate my husband's packing system. He ...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A1W415JP5WEAJK</td>\n",
       "      <td>Alex S</td>\n",
       "      <td>Even Husbands can do it</td>\n",
       "      <td>1402272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477171</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>*Disclosure: I was contacted by a rep for Shac...</td>\n",
       "      <td>07 18, 2014</td>\n",
       "      <td>AX05DBU8IRUWY</td>\n",
       "      <td>C. Schmidt</td>\n",
       "      <td>Not for squares</td>\n",
       "      <td>1405641600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477172</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>5</td>\n",
       "      <td>This set of travel organizers includes four pi...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>AEL6CQNQXONBX</td>\n",
       "      <td>Cute Chihuahua</td>\n",
       "      <td>Can be used for organization but they are grea...</td>\n",
       "      <td>1402617600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477173</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>When I pack it looks like a disaster area in a...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>End of my packing nightmare system ...</td>\n",
       "      <td>1402272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477174</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>I don't normally go ga-ga over a product very ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2DG63DN704LOI</td>\n",
       "      <td>ESlayd</td>\n",
       "      <td>These have literally changed the way I travel!</td>\n",
       "      <td>1403568000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477175</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>5</td>\n",
       "      <td>I've been traveling back and forth to England ...</td>\n",
       "      <td>06 26, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Wonderful for Better Packing</td>\n",
       "      <td>1403740800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477176</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>These are very nice packing cubes and the 18 x...</td>\n",
       "      <td>06 8, 2014</td>\n",
       "      <td>A1UQBFCERIP7VJ</td>\n",
       "      <td>Margaret Picky</td>\n",
       "      <td>Convenient, lightweight, and durable</td>\n",
       "      <td>1402185600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477177</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>5</td>\n",
       "      <td>I am on vacation with my family of four and th...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A22CW0ZHY3NJH8</td>\n",
       "      <td>Noname</td>\n",
       "      <td>Holds Up Well In Real World Test</td>\n",
       "      <td>1404691200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477178</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>5</td>\n",
       "      <td>When I signed up to receive a free set of Shac...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A30VWT3R25QAVD</td>\n",
       "      <td>THE-DEADLY-DOG \"Living and Loving Life.\"</td>\n",
       "      <td>Don't Travel? Still Way too Useful for 'Averag...</td>\n",
       "      <td>1403481600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477179 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              asin   helpful  overall  \\\n",
       "0       7806397051    [3, 4]        1   \n",
       "1       7806397051    [1, 1]        3   \n",
       "2       7806397051    [0, 1]        4   \n",
       "3       7806397051    [2, 2]        2   \n",
       "4       7806397051    [0, 0]        3   \n",
       "5       7806397051    [1, 2]        5   \n",
       "6       7806397051    [1, 3]        1   \n",
       "7       7806397051    [0, 1]        2   \n",
       "8       9759091062    [0, 0]        2   \n",
       "9       9759091062    [0, 0]        3   \n",
       "10      9759091062    [0, 0]        3   \n",
       "11      9759091062    [0, 0]        1   \n",
       "12      9759091062    [0, 1]        5   \n",
       "13      9759091062    [0, 0]        1   \n",
       "14      9759091062    [0, 1]        5   \n",
       "15      9759091062    [0, 0]        2   \n",
       "16      9759091062    [2, 4]        5   \n",
       "17      9759091062    [2, 4]        4   \n",
       "18      9759091062    [0, 1]        3   \n",
       "19      9788072216  [24, 24]        5   \n",
       "20      9788072216    [0, 0]        5   \n",
       "21      9788072216    [1, 1]        5   \n",
       "22      9788072216    [2, 4]        5   \n",
       "23      9788072216    [0, 0]        5   \n",
       "24      9790790961    [1, 1]        5   \n",
       "25      9790790961    [0, 1]        3   \n",
       "26      9790790961    [0, 0]        5   \n",
       "27      9790790961    [0, 1]        5   \n",
       "28      9790790961    [1, 2]        5   \n",
       "29      9790790961    [0, 0]        3   \n",
       "...            ...       ...      ...   \n",
       "477149  B00KA602SY    [0, 0]        5   \n",
       "477150  B00KCWMG5S    [0, 0]        2   \n",
       "477151  B00KCWMG5S    [2, 2]        4   \n",
       "477152  B00KCWMG5S    [0, 0]        3   \n",
       "477153  B00KCWMG5S    [1, 1]        1   \n",
       "477154  B00KCWMG5S    [0, 0]        2   \n",
       "477155  B00KF9180W    [1, 1]        5   \n",
       "477156  B00KF9180W    [1, 1]        5   \n",
       "477157  B00KF9180W    [2, 3]        5   \n",
       "477158  B00KF9180W    [4, 5]        5   \n",
       "477159  B00KF9180W    [4, 5]        4   \n",
       "477160  B00KF9180W    [4, 7]        5   \n",
       "477161  B00KF9180W    [5, 6]        5   \n",
       "477162  B00KF9180W    [2, 3]        5   \n",
       "477163  B00KF9180W    [7, 8]        5   \n",
       "477164  B00KF9180W    [2, 3]        4   \n",
       "477165  B00KGCLROK    [1, 1]        2   \n",
       "477166  B00KGCLROK    [0, 0]        5   \n",
       "477167  B00KGCLROK    [0, 0]        5   \n",
       "477168  B00KGCLROK    [1, 1]        5   \n",
       "477169  B00KGCLROK    [0, 0]        5   \n",
       "477170  B00KKXCJQU    [1, 1]        5   \n",
       "477171  B00KKXCJQU    [0, 0]        5   \n",
       "477172  B00KKXCJQU    [2, 2]        5   \n",
       "477173  B00KKXCJQU    [1, 1]        5   \n",
       "477174  B00KKXCJQU    [0, 1]        5   \n",
       "477175  B00KKXCJQU    [0, 0]        5   \n",
       "477176  B00KKXCJQU    [1, 1]        5   \n",
       "477177  B00KKXCJQU    [2, 2]        5   \n",
       "477178  B00KKXCJQU    [0, 1]        5   \n",
       "\n",
       "                                               reviewText   reviewTime  \\\n",
       "0       Very oily and creamy. Not at all what I expect...  01 30, 2014   \n",
       "1       This palette was a decent price and I was look...  04 18, 2014   \n",
       "2       The texture of this concealer pallet is fantas...   09 6, 2013   \n",
       "3       I really can't tell what exactly this thing is...   12 8, 2013   \n",
       "4       It was a little smaller than I expected, but t...  10 19, 2013   \n",
       "5       I was very happy to get this palette, now I wi...  04 15, 2013   \n",
       "6       PLEASE DONT DO IT! this just rachett the palet...  08 16, 2013   \n",
       "7       Chalky,Not Pigmented,Wears off easily,Not a Co...   09 4, 2013   \n",
       "8       Did nothing for me. Stings when I put it on. I...  07 13, 2014   \n",
       "9       I bought this product to get rid of the dark s...  12 27, 2013   \n",
       "10      I have mixed feelings about this product. When...  05 20, 2014   \n",
       "11      Did nothing for my skin. Used as suggested and...  02 18, 2014   \n",
       "12      I bought this product about 3 months ago, I fi...  01 23, 2014   \n",
       "13      This gell did nothing at all. I religiously pu...  01 11, 2014   \n",
       "14      i got this to get rid of a scar and it did jus...  02 18, 2014   \n",
       "15      I used it for anal bleaching and it burned a b...   04 6, 2014   \n",
       "16      I order this cream along with their soap. It a...  09 14, 2013   \n",
       "17      Good product. Use a little bit on your spot an...  10 18, 2013   \n",
       "18      I didn't use it past a week. The reason why is...   11 1, 2013   \n",
       "19      I haven't been a big fan of Prada's fragrances...  09 19, 2011   \n",
       "20      We gave these as gifts and everyone that recei...  08 10, 2013   \n",
       "21      This is the first fragrance by Prada that I lo...  11 28, 2011   \n",
       "22      So I got this about a month ago. I had no plan...  05 27, 2012   \n",
       "23      This product has a very fruity scent which is ...   02 2, 2013   \n",
       "24      I'm very picky when it comes to fragrance. I l...  03 11, 2014   \n",
       "25      bright crystals reminds me of Victoria Secrets...  12 19, 2011   \n",
       "26      Got this product and I never heard of this so ...   09 8, 2013   \n",
       "27      This is a beautiful perfume! Nice, clean scent...   02 2, 2014   \n",
       "28      This is the real Versace Bright Crystal fragra...  02 14, 2014   \n",
       "29      I love it! and will continue using it but it's...  02 12, 2014   \n",
       "...                                                   ...          ...   \n",
       "477149  I really like this shirt, very comfortable and...  06 22, 2014   \n",
       "477150                                For tiny teenagers.  07 20, 2014   \n",
       "477151  Like these pants, 1st time I wore them I rippe...   06 6, 2014   \n",
       "477152  I should have waited until I owned the first p...   07 7, 2014   \n",
       "477153  Arrived with what looked like a bleach stain o...  06 23, 2014   \n",
       "477154  Trying to decide if return or just give away t...   06 5, 2014   \n",
       "477155  This is a (2) pack of balcalavas that can be c...  06 27, 2014   \n",
       "477156  I really wish I had these a few months ago whe...   06 7, 2014   \n",
       "477157  If you are an outdoor person and are outdoors ...   06 4, 2014   \n",
       "477158  l  know now just what I am going as for Hallow...  06 16, 2014   \n",
       "477159  I go walking a lot in all kinds of weather and...  06 16, 2014   \n",
       "477160  This two pack of Balaclavas makes for a very n...   06 9, 2014   \n",
       "477161  Well, the first thing I did was try the balacl...  06 13, 2014   \n",
       "477162  While balaclavas can be used for a variety of ...  06 13, 2014   \n",
       "477163  This is truly a year round product. Here in th...  06 21, 2014   \n",
       "477164  Nice material, but not as nice as  silk or mer...   06 9, 2014   \n",
       "477165  These were a free sample for review.  I was ex...  06 21, 2014   \n",
       "477166  My stepmother does yoga in bare feet or regula...   07 3, 2014   \n",
       "477167  These socks are very nicely made and quite com...  06 22, 2014   \n",
       "477168  You don&#8217;t have to be a yoga or martial a...   07 5, 2014   \n",
       "477169  These are cozy and complements well for yoga. ...  06 24, 2014   \n",
       "477170  I really hate my husband's packing system. He ...   06 9, 2014   \n",
       "477171  *Disclosure: I was contacted by a rep for Shac...  07 18, 2014   \n",
       "477172  This set of travel organizers includes four pi...  06 13, 2014   \n",
       "477173  When I pack it looks like a disaster area in a...   06 9, 2014   \n",
       "477174  I don't normally go ga-ga over a product very ...  06 24, 2014   \n",
       "477175  I've been traveling back and forth to England ...  06 26, 2014   \n",
       "477176  These are very nice packing cubes and the 18 x...   06 8, 2014   \n",
       "477177  I am on vacation with my family of four and th...   07 7, 2014   \n",
       "477178  When I signed up to receive a free set of Shac...  06 23, 2014   \n",
       "\n",
       "            reviewerID                                      reviewerName  \\\n",
       "0       A1YJEY40YUW4SE                                            Andrea   \n",
       "1        A60XNB876KYML                                        Jessica H.   \n",
       "2       A3G6XNM240RMWA                                             Karen   \n",
       "3       A1PQFP6SAJ6D80                                             Norah   \n",
       "4       A38FVHZTNQ271F                                         Nova Amor   \n",
       "5       A3BTN14HIZET6Z                    S. M. Randall \"WildHorseWoman\"   \n",
       "6       A1Z59RFKN0M5QL                                 tasha \"luvely12b\"   \n",
       "7        AWUO9P6PL1SY8                                     TreMagnifique   \n",
       "8       A3LMILRM9OC3SA                                               NaN   \n",
       "9       A30IP88QK3YUIO                               Amina Bint Ibraheem   \n",
       "10       APBQH4BS48CQO                                           Charmmy   \n",
       "11      A3FE8W8UV95U6B                                 Culture C Simmons   \n",
       "12      A1EVGDOTGFZOSS                           Jessica \"Anarchykisses\"   \n",
       "13       AP5WTCMP6DTRV                                           Layla B   \n",
       "14      A21IM16PQWKVO5                                          mdub9922   \n",
       "15      A1TLDR1V4O48PK                     Mickey O Neil \"Mickey O Neil\"   \n",
       "16       A6F8KH0J1AVYA                                            SanBen   \n",
       "17       AXPKZA7UZXKTT                                         Shirleyyy   \n",
       "18      A2SIAYDK7GG7QA                                      theredtranny   \n",
       "19      A1QV5IH6HDRN0L                                          armygirl   \n",
       "20      A3UQXHI88S7XAX                                         D. Greene   \n",
       "21      A2EK2CJNJUF7OQ                                             Nikki   \n",
       "22      A2GWNGQF9SHRE4                             Pholuke \"Lepa Shandy\"   \n",
       "23       ABV67T136UXFQ                                            Sandra   \n",
       "24      A2FQZKL2KIZACO                                          Ellie B.   \n",
       "25      A312RDWQYLAG7S                                               ltg   \n",
       "26      A3TYR1ALBZ2EU9                                       Mananagirl6   \n",
       "27       AUYVMLI0CBMYS                                          Shay1234   \n",
       "28      A2H0VDRANZMGGX                                         Shoe luva   \n",
       "29      A2MZDI3I5AEL74                            Y. Siani \"I love nini\"   \n",
       "...                ...                                               ...   \n",
       "477149   ANNHM5C3DX72Q                                    Tracey Simmons   \n",
       "477150  A2FENE35P9Z592                                            Amanda   \n",
       "477151    AODACROYFBAY                                   Denise M Nelson   \n",
       "477152  A3O26N290U3VI0                                            Khouri   \n",
       "477153  A15WDJOU6B9FLQ                               L. Atwood \"Bothell\"   \n",
       "477154   AG5N21TGDQWRJ                                       Lori Mohler   \n",
       "477155  A12DQZKRKTNF5E                                       Andrea Polk   \n",
       "477156  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477157   ABDR6IJ93HFIO                                   Daisy \"Daisy S\"   \n",
       "477158  A3BFDEBT5IV4UN  Dianne E. Socci-Tetro \"Never Judge a Book by ...   \n",
       "477159  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477160   ABUE0ALHKWKHC                                              Kiwi   \n",
       "477161  A1PI8VBCXXSGC7                                              Lynn   \n",
       "477162  A2XX2A4OJCDNLZ                               RatherLiveInKeyWest   \n",
       "477163  A2YKWYC3WQJX5J             Shannon Lastowski \"Queen of Caffeine\"   \n",
       "477164  A3UJRNI8UR4871                               Wulfstan \"wulfstan\"   \n",
       "477165  A34BZM6S9L7QI4                       Candy Cane \"Is it just me?\"   \n",
       "477166   A4WEZJOIZIV4U        Chuck Bittner \"Disabled comedian & gamer!\"   \n",
       "477167  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477168   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477169  A2NOW4U7W3F7RI                                               rpv   \n",
       "477170  A1W415JP5WEAJK                                            Alex S   \n",
       "477171   AX05DBU8IRUWY                                        C. Schmidt   \n",
       "477172   AEL6CQNQXONBX                                    Cute Chihuahua   \n",
       "477173   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477174  A2DG63DN704LOI                                            ESlayd   \n",
       "477175  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477176  A1UQBFCERIP7VJ                                    Margaret Picky   \n",
       "477177  A22CW0ZHY3NJH8                                            Noname   \n",
       "477178  A30VWT3R25QAVD          THE-DEADLY-DOG \"Living and Loving Life.\"   \n",
       "\n",
       "                                                  summary  unixReviewTime  \n",
       "0                                  Don't waste your money      1391040000  \n",
       "1                                             OK Palette!      1397779200  \n",
       "2                                           great quality      1378425600  \n",
       "3                                  Do not work on my face      1386460800  \n",
       "4                                              It's okay.      1382140800  \n",
       "5                                      Very nice palette!      1365984000  \n",
       "6                                                  smh!!!      1376611200  \n",
       "7       Chalky, Not Pigmented, Wears off easily, Not a...      1378252800  \n",
       "8             no Lightening, no Brightening,......NOTHING      1405209600  \n",
       "9                                             Its alright      1388102400  \n",
       "10                                        Mixed feelings.      1400544000  \n",
       "11                                                Nothing      1392681600  \n",
       "12                                             This works      1390435200  \n",
       "13                                           Does nothing      1389398400  \n",
       "14                                               it works      1392681600  \n",
       "15                                                  burns      1396742400  \n",
       "16                                        Did work for me      1379116800  \n",
       "17                                              excellent      1382054400  \n",
       "18                                            weird smell      1383264000  \n",
       "19                                Love the smell of this!      1316390400  \n",
       "20                                                  Happy      1376092800  \n",
       "21                                              Very good      1322438400  \n",
       "22                                       Lurrrrrrrrv.....      1338076800  \n",
       "23                                            Great Scent      1359763200  \n",
       "24                              Spring Garden in a Bottle      1394496000  \n",
       "25                                            fresh smell      1324252800  \n",
       "26                                          My new smell!      1378598400  \n",
       "27                                        One of my favs!      1391299200  \n",
       "28                                           Smells clean      1392336000  \n",
       "29       Love the smell but a shame it's not last as long      1392163200  \n",
       "...                                                   ...             ...  \n",
       "477149                                          Very nice      1403395200  \n",
       "477150                                        Teeny pants      1405814400  \n",
       "477151                                     fabric is thin      1402012800  \n",
       "477152                                  so, this is weird      1404691200  \n",
       "477153                                            Stained      1403481600  \n",
       "477154                                     just too small      1401926400  \n",
       "477155           Quality set with multiple configurations      1403827200  \n",
       "477156  I&#8217;m ready for another frigid blast (or a...      1402099200  \n",
       "477157  Wonderful for one who is outdoors in cold weat...      1401840000  \n",
       "477158  Look Mom I'm a Ninja...No, I'm a Motorcycle  M...      1402876800  \n",
       "477159                   Great for Winter or Chilly Walks      1402876800  \n",
       "477160        Nice soft protection from the elements.....      1402272000  \n",
       "477161  Love that my ears have two layers of protectio...      1402617600  \n",
       "477162  Balaclava 2 Pack - Black - Tan - 100% Polyeste...      1402617600  \n",
       "477163                     Fits under even a tight helmet      1403308800  \n",
       "477164                               Lightweight & useful      1402272000  \n",
       "477165                               Wanted to love these      1403308800  \n",
       "477166   My stepmother was impressed with the extra grip.      1404345600  \n",
       "477167     A bit fussy to get on, but they work very well      1403395200  \n",
       "477168  Very nice, comfortable non-slip socks for yoga...      1404518400  \n",
       "477169                                              Cozy!      1403568000  \n",
       "477170                            Even Husbands can do it      1402272000  \n",
       "477171                                    Not for squares      1405641600  \n",
       "477172  Can be used for organization but they are grea...      1402617600  \n",
       "477173             End of my packing nightmare system ...      1402272000  \n",
       "477174     These have literally changed the way I travel!      1403568000  \n",
       "477175                       Wonderful for Better Packing      1403740800  \n",
       "477176               Convenient, lightweight, and durable      1402185600  \n",
       "477177                   Holds Up Well In Real World Test      1404691200  \n",
       "477178  Don't Travel? Still Way too Useful for 'Averag...      1403481600  \n",
       "\n",
       "[477179 rows x 9 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Dataframe having only helpful attribute and productID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "helpfulness = df[['helpful','asin']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>[0, 1]</td>\n",
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       "      <td>9790790961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477149</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KA602SY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477150</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KCWMG5S</td>\n",
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       "      <th>477151</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>B00KCWMG5S</td>\n",
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       "      <td>[1, 1]</td>\n",
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       "      <th>477154</th>\n",
       "      <td>[0, 0]</td>\n",
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       "      <td>[1, 1]</td>\n",
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       "      <th>477156</th>\n",
       "      <td>[1, 1]</td>\n",
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       "      <th>477158</th>\n",
       "      <td>[4, 5]</td>\n",
       "      <td>B00KF9180W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477159</th>\n",
       "      <td>[4, 5]</td>\n",
       "      <td>B00KF9180W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477160</th>\n",
       "      <td>[4, 7]</td>\n",
       "      <td>B00KF9180W</td>\n",
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       "    <tr>\n",
       "      <th>477161</th>\n",
       "      <td>[5, 6]</td>\n",
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       "      <th>477162</th>\n",
       "      <td>[2, 3]</td>\n",
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       "      <th>477163</th>\n",
       "      <td>[7, 8]</td>\n",
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       "      <td>[2, 3]</td>\n",
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       "      <th>477165</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>B00KGCLROK</td>\n",
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       "    <tr>\n",
       "      <th>477166</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KGCLROK</td>\n",
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       "    <tr>\n",
       "      <th>477167</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KGCLROK</td>\n",
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       "    <tr>\n",
       "      <th>477168</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>B00KGCLROK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477169</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KGCLROK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477170</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477171</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477172</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
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       "    <tr>\n",
       "      <th>477173</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477174</th>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477175</th>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477176</th>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477177</th>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477178</th>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>B00KKXCJQU</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477179 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         helpful        asin\n",
       "0         [3, 4]  7806397051\n",
       "1         [1, 1]  7806397051\n",
       "2         [0, 1]  7806397051\n",
       "3         [2, 2]  7806397051\n",
       "4         [0, 0]  7806397051\n",
       "5         [1, 2]  7806397051\n",
       "6         [1, 3]  7806397051\n",
       "7         [0, 1]  7806397051\n",
       "8         [0, 0]  9759091062\n",
       "9         [0, 0]  9759091062\n",
       "10        [0, 0]  9759091062\n",
       "11        [0, 0]  9759091062\n",
       "12        [0, 1]  9759091062\n",
       "13        [0, 0]  9759091062\n",
       "14        [0, 1]  9759091062\n",
       "15        [0, 0]  9759091062\n",
       "16        [2, 4]  9759091062\n",
       "17        [2, 4]  9759091062\n",
       "18        [0, 1]  9759091062\n",
       "19      [24, 24]  9788072216\n",
       "20        [0, 0]  9788072216\n",
       "21        [1, 1]  9788072216\n",
       "22        [2, 4]  9788072216\n",
       "23        [0, 0]  9788072216\n",
       "24        [1, 1]  9790790961\n",
       "25        [0, 1]  9790790961\n",
       "26        [0, 0]  9790790961\n",
       "27        [0, 1]  9790790961\n",
       "28        [1, 2]  9790790961\n",
       "29        [0, 0]  9790790961\n",
       "...          ...         ...\n",
       "477149    [0, 0]  B00KA602SY\n",
       "477150    [0, 0]  B00KCWMG5S\n",
       "477151    [2, 2]  B00KCWMG5S\n",
       "477152    [0, 0]  B00KCWMG5S\n",
       "477153    [1, 1]  B00KCWMG5S\n",
       "477154    [0, 0]  B00KCWMG5S\n",
       "477155    [1, 1]  B00KF9180W\n",
       "477156    [1, 1]  B00KF9180W\n",
       "477157    [2, 3]  B00KF9180W\n",
       "477158    [4, 5]  B00KF9180W\n",
       "477159    [4, 5]  B00KF9180W\n",
       "477160    [4, 7]  B00KF9180W\n",
       "477161    [5, 6]  B00KF9180W\n",
       "477162    [2, 3]  B00KF9180W\n",
       "477163    [7, 8]  B00KF9180W\n",
       "477164    [2, 3]  B00KF9180W\n",
       "477165    [1, 1]  B00KGCLROK\n",
       "477166    [0, 0]  B00KGCLROK\n",
       "477167    [0, 0]  B00KGCLROK\n",
       "477168    [1, 1]  B00KGCLROK\n",
       "477169    [0, 0]  B00KGCLROK\n",
       "477170    [1, 1]  B00KKXCJQU\n",
       "477171    [0, 0]  B00KKXCJQU\n",
       "477172    [2, 2]  B00KKXCJQU\n",
       "477173    [1, 1]  B00KKXCJQU\n",
       "477174    [0, 1]  B00KKXCJQU\n",
       "477175    [0, 0]  B00KKXCJQU\n",
       "477176    [1, 1]  B00KKXCJQU\n",
       "477177    [2, 2]  B00KKXCJQU\n",
       "477178    [0, 1]  B00KKXCJQU\n",
       "\n",
       "[477179 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "helpfulness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df2 = pd.DataFrame(helpfulness)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df2[['helpful','total']] = pd.DataFrame(df2.helpful.values.tolist(), index=df2.index)\n",
    "dfhelpful = df2[['asin', 'helpful','total']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>helpful</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
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       "      <th>2</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>9759091062</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477149</th>\n",
       "      <td>B00KA602SY</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>477150</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477151</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477152</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>477153</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477154</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477155</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477156</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477157</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477158</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477159</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477160</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477161</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477162</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477163</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477164</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477165</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477166</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477167</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477168</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477169</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477170</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477171</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477172</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477173</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477174</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477175</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477176</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477177</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477178</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477179 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              asin  helpful  total\n",
       "0       7806397051        3      4\n",
       "1       7806397051        1      1\n",
       "2       7806397051        0      1\n",
       "3       7806397051        2      2\n",
       "4       7806397051        0      0\n",
       "5       7806397051        1      2\n",
       "6       7806397051        1      3\n",
       "7       7806397051        0      1\n",
       "8       9759091062        0      0\n",
       "9       9759091062        0      0\n",
       "10      9759091062        0      0\n",
       "11      9759091062        0      0\n",
       "12      9759091062        0      1\n",
       "13      9759091062        0      0\n",
       "14      9759091062        0      1\n",
       "15      9759091062        0      0\n",
       "16      9759091062        2      4\n",
       "17      9759091062        2      4\n",
       "18      9759091062        0      1\n",
       "19      9788072216       24     24\n",
       "20      9788072216        0      0\n",
       "21      9788072216        1      1\n",
       "22      9788072216        2      4\n",
       "23      9788072216        0      0\n",
       "24      9790790961        1      1\n",
       "25      9790790961        0      1\n",
       "26      9790790961        0      0\n",
       "27      9790790961        0      1\n",
       "28      9790790961        1      2\n",
       "29      9790790961        0      0\n",
       "...            ...      ...    ...\n",
       "477149  B00KA602SY        0      0\n",
       "477150  B00KCWMG5S        0      0\n",
       "477151  B00KCWMG5S        2      2\n",
       "477152  B00KCWMG5S        0      0\n",
       "477153  B00KCWMG5S        1      1\n",
       "477154  B00KCWMG5S        0      0\n",
       "477155  B00KF9180W        1      1\n",
       "477156  B00KF9180W        1      1\n",
       "477157  B00KF9180W        2      3\n",
       "477158  B00KF9180W        4      5\n",
       "477159  B00KF9180W        4      5\n",
       "477160  B00KF9180W        4      7\n",
       "477161  B00KF9180W        5      6\n",
       "477162  B00KF9180W        2      3\n",
       "477163  B00KF9180W        7      8\n",
       "477164  B00KF9180W        2      3\n",
       "477165  B00KGCLROK        1      1\n",
       "477166  B00KGCLROK        0      0\n",
       "477167  B00KGCLROK        0      0\n",
       "477168  B00KGCLROK        1      1\n",
       "477169  B00KGCLROK        0      0\n",
       "477170  B00KKXCJQU        1      1\n",
       "477171  B00KKXCJQU        0      0\n",
       "477172  B00KKXCJQU        2      2\n",
       "477173  B00KKXCJQU        1      1\n",
       "477174  B00KKXCJQU        0      1\n",
       "477175  B00KKXCJQU        0      0\n",
       "477176  B00KKXCJQU        1      1\n",
       "477177  B00KKXCJQU        2      2\n",
       "477178  B00KKXCJQU        0      1\n",
       "\n",
       "[477179 rows x 3 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfhelpful"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dfNew = df.drop('helpful',1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "frames = [dfNew, dfhelpful]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result = dfNew.join(dfhelpful[['helpful','total']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>overall</th>\n",
       "      <th>reviewText</th>\n",
       "      <th>reviewTime</th>\n",
       "      <th>reviewerID</th>\n",
       "      <th>reviewerName</th>\n",
       "      <th>summary</th>\n",
       "      <th>unixReviewTime</th>\n",
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       "      <th>total</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>Very oily and creamy. Not at all what I expect...</td>\n",
       "      <td>01 30, 2014</td>\n",
       "      <td>A1YJEY40YUW4SE</td>\n",
       "      <td>Andrea</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>1391040000</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>This palette was a decent price and I was look...</td>\n",
       "      <td>04 18, 2014</td>\n",
       "      <td>A60XNB876KYML</td>\n",
       "      <td>Jessica H.</td>\n",
       "      <td>OK Palette!</td>\n",
       "      <td>1397779200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>4</td>\n",
       "      <td>The texture of this concealer pallet is fantas...</td>\n",
       "      <td>09 6, 2013</td>\n",
       "      <td>A3G6XNM240RMWA</td>\n",
       "      <td>Karen</td>\n",
       "      <td>great quality</td>\n",
       "      <td>1378425600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
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       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>I really can't tell what exactly this thing is...</td>\n",
       "      <td>12 8, 2013</td>\n",
       "      <td>A1PQFP6SAJ6D80</td>\n",
       "      <td>Norah</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>1386460800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>It was a little smaller than I expected, but t...</td>\n",
       "      <td>10 19, 2013</td>\n",
       "      <td>A38FVHZTNQ271F</td>\n",
       "      <td>Nova Amor</td>\n",
       "      <td>It's okay.</td>\n",
       "      <td>1382140800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>5</td>\n",
       "      <td>I was very happy to get this palette, now I wi...</td>\n",
       "      <td>04 15, 2013</td>\n",
       "      <td>A3BTN14HIZET6Z</td>\n",
       "      <td>S. M. Randall \"WildHorseWoman\"</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1365984000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>PLEASE DONT DO IT! this just rachett the palet...</td>\n",
       "      <td>08 16, 2013</td>\n",
       "      <td>A1Z59RFKN0M5QL</td>\n",
       "      <td>tasha \"luvely12b\"</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1376611200</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>Chalky,Not Pigmented,Wears off easily,Not a Co...</td>\n",
       "      <td>09 4, 2013</td>\n",
       "      <td>AWUO9P6PL1SY8</td>\n",
       "      <td>TreMagnifique</td>\n",
       "      <td>Chalky, Not Pigmented, Wears off easily, Not a...</td>\n",
       "      <td>1378252800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>Did nothing for me. Stings when I put it on. I...</td>\n",
       "      <td>07 13, 2014</td>\n",
       "      <td>A3LMILRM9OC3SA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no Lightening, no Brightening,......NOTHING</td>\n",
       "      <td>1405209600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I bought this product to get rid of the dark s...</td>\n",
       "      <td>12 27, 2013</td>\n",
       "      <td>A30IP88QK3YUIO</td>\n",
       "      <td>Amina Bint Ibraheem</td>\n",
       "      <td>Its alright</td>\n",
       "      <td>1388102400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I have mixed feelings about this product. When...</td>\n",
       "      <td>05 20, 2014</td>\n",
       "      <td>APBQH4BS48CQO</td>\n",
       "      <td>Charmmy</td>\n",
       "      <td>Mixed feelings.</td>\n",
       "      <td>1400544000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>1</td>\n",
       "      <td>Did nothing for my skin. Used as suggested and...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A3FE8W8UV95U6B</td>\n",
       "      <td>Culture C Simmons</td>\n",
       "      <td>Nothing</td>\n",
       "      <td>1392681600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>I bought this product about 3 months ago, I fi...</td>\n",
       "      <td>01 23, 2014</td>\n",
       "      <td>A1EVGDOTGFZOSS</td>\n",
       "      <td>Jessica \"Anarchykisses\"</td>\n",
       "      <td>This works</td>\n",
       "      <td>1390435200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>1</td>\n",
       "      <td>This gell did nothing at all. I religiously pu...</td>\n",
       "      <td>01 11, 2014</td>\n",
       "      <td>AP5WTCMP6DTRV</td>\n",
       "      <td>Layla B</td>\n",
       "      <td>Does nothing</td>\n",
       "      <td>1389398400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>i got this to get rid of a scar and it did jus...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A21IM16PQWKVO5</td>\n",
       "      <td>mdub9922</td>\n",
       "      <td>it works</td>\n",
       "      <td>1392681600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>I used it for anal bleaching and it burned a b...</td>\n",
       "      <td>04 6, 2014</td>\n",
       "      <td>A1TLDR1V4O48PK</td>\n",
       "      <td>Mickey O Neil \"Mickey O Neil\"</td>\n",
       "      <td>burns</td>\n",
       "      <td>1396742400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>I order this cream along with their soap. It a...</td>\n",
       "      <td>09 14, 2013</td>\n",
       "      <td>A6F8KH0J1AVYA</td>\n",
       "      <td>SanBen</td>\n",
       "      <td>Did work for me</td>\n",
       "      <td>1379116800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>4</td>\n",
       "      <td>Good product. Use a little bit on your spot an...</td>\n",
       "      <td>10 18, 2013</td>\n",
       "      <td>AXPKZA7UZXKTT</td>\n",
       "      <td>Shirleyyy</td>\n",
       "      <td>excellent</td>\n",
       "      <td>1382054400</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I didn't use it past a week. The reason why is...</td>\n",
       "      <td>11 1, 2013</td>\n",
       "      <td>A2SIAYDK7GG7QA</td>\n",
       "      <td>theredtranny</td>\n",
       "      <td>weird smell</td>\n",
       "      <td>1383264000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>I haven't been a big fan of Prada's fragrances...</td>\n",
       "      <td>09 19, 2011</td>\n",
       "      <td>A1QV5IH6HDRN0L</td>\n",
       "      <td>armygirl</td>\n",
       "      <td>Love the smell of this!</td>\n",
       "      <td>1316390400</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>We gave these as gifts and everyone that recei...</td>\n",
       "      <td>08 10, 2013</td>\n",
       "      <td>A3UQXHI88S7XAX</td>\n",
       "      <td>D. Greene</td>\n",
       "      <td>Happy</td>\n",
       "      <td>1376092800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the first fragrance by Prada that I lo...</td>\n",
       "      <td>11 28, 2011</td>\n",
       "      <td>A2EK2CJNJUF7OQ</td>\n",
       "      <td>Nikki</td>\n",
       "      <td>Very good</td>\n",
       "      <td>1322438400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>So I got this about a month ago. I had no plan...</td>\n",
       "      <td>05 27, 2012</td>\n",
       "      <td>A2GWNGQF9SHRE4</td>\n",
       "      <td>Pholuke \"Lepa Shandy\"</td>\n",
       "      <td>Lurrrrrrrrv.....</td>\n",
       "      <td>1338076800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>This product has a very fruity scent which is ...</td>\n",
       "      <td>02 2, 2013</td>\n",
       "      <td>ABV67T136UXFQ</td>\n",
       "      <td>Sandra</td>\n",
       "      <td>Great Scent</td>\n",
       "      <td>1359763200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>I'm very picky when it comes to fragrance. I l...</td>\n",
       "      <td>03 11, 2014</td>\n",
       "      <td>A2FQZKL2KIZACO</td>\n",
       "      <td>Ellie B.</td>\n",
       "      <td>Spring Garden in a Bottle</td>\n",
       "      <td>1394496000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>3</td>\n",
       "      <td>bright crystals reminds me of Victoria Secrets...</td>\n",
       "      <td>12 19, 2011</td>\n",
       "      <td>A312RDWQYLAG7S</td>\n",
       "      <td>ltg</td>\n",
       "      <td>fresh smell</td>\n",
       "      <td>1324252800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>Got this product and I never heard of this so ...</td>\n",
       "      <td>09 8, 2013</td>\n",
       "      <td>A3TYR1ALBZ2EU9</td>\n",
       "      <td>Mananagirl6</td>\n",
       "      <td>My new smell!</td>\n",
       "      <td>1378598400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a beautiful perfume! Nice, clean scent...</td>\n",
       "      <td>02 2, 2014</td>\n",
       "      <td>AUYVMLI0CBMYS</td>\n",
       "      <td>Shay1234</td>\n",
       "      <td>One of my favs!</td>\n",
       "      <td>1391299200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the real Versace Bright Crystal fragra...</td>\n",
       "      <td>02 14, 2014</td>\n",
       "      <td>A2H0VDRANZMGGX</td>\n",
       "      <td>Shoe luva</td>\n",
       "      <td>Smells clean</td>\n",
       "      <td>1392336000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>3</td>\n",
       "      <td>I love it! and will continue using it but it's...</td>\n",
       "      <td>02 12, 2014</td>\n",
       "      <td>A2MZDI3I5AEL74</td>\n",
       "      <td>Y. Siani \"I love nini\"</td>\n",
       "      <td>Love the smell but a shame it's not last as long</td>\n",
       "      <td>1392163200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477149</th>\n",
       "      <td>B00KA602SY</td>\n",
       "      <td>5</td>\n",
       "      <td>I really like this shirt, very comfortable and...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>ANNHM5C3DX72Q</td>\n",
       "      <td>Tracey Simmons</td>\n",
       "      <td>Very nice</td>\n",
       "      <td>1403395200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477150</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>For tiny teenagers.</td>\n",
       "      <td>07 20, 2014</td>\n",
       "      <td>A2FENE35P9Z592</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Teeny pants</td>\n",
       "      <td>1405814400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477151</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>4</td>\n",
       "      <td>Like these pants, 1st time I wore them I rippe...</td>\n",
       "      <td>06 6, 2014</td>\n",
       "      <td>AODACROYFBAY</td>\n",
       "      <td>Denise M Nelson</td>\n",
       "      <td>fabric is thin</td>\n",
       "      <td>1402012800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477152</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>3</td>\n",
       "      <td>I should have waited until I owned the first p...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A3O26N290U3VI0</td>\n",
       "      <td>Khouri</td>\n",
       "      <td>so, this is weird</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477153</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>1</td>\n",
       "      <td>Arrived with what looked like a bleach stain o...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A15WDJOU6B9FLQ</td>\n",
       "      <td>L. Atwood \"Bothell\"</td>\n",
       "      <td>Stained</td>\n",
       "      <td>1403481600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477154</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>Trying to decide if return or just give away t...</td>\n",
       "      <td>06 5, 2014</td>\n",
       "      <td>AG5N21TGDQWRJ</td>\n",
       "      <td>Lori Mohler</td>\n",
       "      <td>just too small</td>\n",
       "      <td>1401926400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477155</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a (2) pack of balcalavas that can be c...</td>\n",
       "      <td>06 27, 2014</td>\n",
       "      <td>A12DQZKRKTNF5E</td>\n",
       "      <td>Andrea Polk</td>\n",
       "      <td>Quality set with multiple configurations</td>\n",
       "      <td>1403827200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477156</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>I really wish I had these a few months ago whe...</td>\n",
       "      <td>06 7, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>I&amp;#8217;m ready for another frigid blast (or a...</td>\n",
       "      <td>1402099200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477157</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>If you are an outdoor person and are outdoors ...</td>\n",
       "      <td>06 4, 2014</td>\n",
       "      <td>ABDR6IJ93HFIO</td>\n",
       "      <td>Daisy \"Daisy S\"</td>\n",
       "      <td>Wonderful for one who is outdoors in cold weat...</td>\n",
       "      <td>1401840000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477158</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>l  know now just what I am going as for Hallow...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A3BFDEBT5IV4UN</td>\n",
       "      <td>Dianne E. Socci-Tetro \"Never Judge a Book by ...</td>\n",
       "      <td>Look Mom I'm a Ninja...No, I'm a Motorcycle  M...</td>\n",
       "      <td>1402876800</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477159</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>I go walking a lot in all kinds of weather and...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Great for Winter or Chilly Walks</td>\n",
       "      <td>1402876800</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477160</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This two pack of Balaclavas makes for a very n...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ABUE0ALHKWKHC</td>\n",
       "      <td>Kiwi</td>\n",
       "      <td>Nice soft protection from the elements.....</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477161</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>Well, the first thing I did was try the balacl...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A1PI8VBCXXSGC7</td>\n",
       "      <td>Lynn</td>\n",
       "      <td>Love that my ears have two layers of protectio...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477162</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>While balaclavas can be used for a variety of ...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A2XX2A4OJCDNLZ</td>\n",
       "      <td>RatherLiveInKeyWest</td>\n",
       "      <td>Balaclava 2 Pack - Black - Tan - 100% Polyeste...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477163</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This is truly a year round product. Here in th...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A2YKWYC3WQJX5J</td>\n",
       "      <td>Shannon Lastowski \"Queen of Caffeine\"</td>\n",
       "      <td>Fits under even a tight helmet</td>\n",
       "      <td>1403308800</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477164</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>Nice material, but not as nice as  silk or mer...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A3UJRNI8UR4871</td>\n",
       "      <td>Wulfstan \"wulfstan\"</td>\n",
       "      <td>Lightweight &amp; useful</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477165</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>2</td>\n",
       "      <td>These were a free sample for review.  I was ex...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A34BZM6S9L7QI4</td>\n",
       "      <td>Candy Cane \"Is it just me?\"</td>\n",
       "      <td>Wanted to love these</td>\n",
       "      <td>1403308800</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477166</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>My stepmother does yoga in bare feet or regula...</td>\n",
       "      <td>07 3, 2014</td>\n",
       "      <td>A4WEZJOIZIV4U</td>\n",
       "      <td>Chuck Bittner \"Disabled comedian &amp; gamer!\"</td>\n",
       "      <td>My stepmother was impressed with the extra grip.</td>\n",
       "      <td>1404345600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477167</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>These socks are very nicely made and quite com...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>A bit fussy to get on, but they work very well</td>\n",
       "      <td>1403395200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477168</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>You don&amp;#8217;t have to be a yoga or martial a...</td>\n",
       "      <td>07 5, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>Very nice, comfortable non-slip socks for yoga...</td>\n",
       "      <td>1404518400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477169</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>These are cozy and complements well for yoga. ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2NOW4U7W3F7RI</td>\n",
       "      <td>rpv</td>\n",
       "      <td>Cozy!</td>\n",
       "      <td>1403568000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477170</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I really hate my husband's packing system. He ...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A1W415JP5WEAJK</td>\n",
       "      <td>Alex S</td>\n",
       "      <td>Even Husbands can do it</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477171</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>*Disclosure: I was contacted by a rep for Shac...</td>\n",
       "      <td>07 18, 2014</td>\n",
       "      <td>AX05DBU8IRUWY</td>\n",
       "      <td>C. Schmidt</td>\n",
       "      <td>Not for squares</td>\n",
       "      <td>1405641600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477172</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>This set of travel organizers includes four pi...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>AEL6CQNQXONBX</td>\n",
       "      <td>Cute Chihuahua</td>\n",
       "      <td>Can be used for organization but they are grea...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477173</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>When I pack it looks like a disaster area in a...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>End of my packing nightmare system ...</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477174</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I don't normally go ga-ga over a product very ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2DG63DN704LOI</td>\n",
       "      <td>ESlayd</td>\n",
       "      <td>These have literally changed the way I travel!</td>\n",
       "      <td>1403568000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477175</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I've been traveling back and forth to England ...</td>\n",
       "      <td>06 26, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Wonderful for Better Packing</td>\n",
       "      <td>1403740800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477176</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>These are very nice packing cubes and the 18 x...</td>\n",
       "      <td>06 8, 2014</td>\n",
       "      <td>A1UQBFCERIP7VJ</td>\n",
       "      <td>Margaret Picky</td>\n",
       "      <td>Convenient, lightweight, and durable</td>\n",
       "      <td>1402185600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477177</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I am on vacation with my family of four and th...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A22CW0ZHY3NJH8</td>\n",
       "      <td>Noname</td>\n",
       "      <td>Holds Up Well In Real World Test</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477178</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>When I signed up to receive a free set of Shac...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A30VWT3R25QAVD</td>\n",
       "      <td>THE-DEADLY-DOG \"Living and Loving Life.\"</td>\n",
       "      <td>Don't Travel? Still Way too Useful for 'Averag...</td>\n",
       "      <td>1403481600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477179 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              asin  overall  \\\n",
       "0       7806397051        1   \n",
       "1       7806397051        3   \n",
       "2       7806397051        4   \n",
       "3       7806397051        2   \n",
       "4       7806397051        3   \n",
       "5       7806397051        5   \n",
       "6       7806397051        1   \n",
       "7       7806397051        2   \n",
       "8       9759091062        2   \n",
       "9       9759091062        3   \n",
       "10      9759091062        3   \n",
       "11      9759091062        1   \n",
       "12      9759091062        5   \n",
       "13      9759091062        1   \n",
       "14      9759091062        5   \n",
       "15      9759091062        2   \n",
       "16      9759091062        5   \n",
       "17      9759091062        4   \n",
       "18      9759091062        3   \n",
       "19      9788072216        5   \n",
       "20      9788072216        5   \n",
       "21      9788072216        5   \n",
       "22      9788072216        5   \n",
       "23      9788072216        5   \n",
       "24      9790790961        5   \n",
       "25      9790790961        3   \n",
       "26      9790790961        5   \n",
       "27      9790790961        5   \n",
       "28      9790790961        5   \n",
       "29      9790790961        3   \n",
       "...            ...      ...   \n",
       "477149  B00KA602SY        5   \n",
       "477150  B00KCWMG5S        2   \n",
       "477151  B00KCWMG5S        4   \n",
       "477152  B00KCWMG5S        3   \n",
       "477153  B00KCWMG5S        1   \n",
       "477154  B00KCWMG5S        2   \n",
       "477155  B00KF9180W        5   \n",
       "477156  B00KF9180W        5   \n",
       "477157  B00KF9180W        5   \n",
       "477158  B00KF9180W        5   \n",
       "477159  B00KF9180W        4   \n",
       "477160  B00KF9180W        5   \n",
       "477161  B00KF9180W        5   \n",
       "477162  B00KF9180W        5   \n",
       "477163  B00KF9180W        5   \n",
       "477164  B00KF9180W        4   \n",
       "477165  B00KGCLROK        2   \n",
       "477166  B00KGCLROK        5   \n",
       "477167  B00KGCLROK        5   \n",
       "477168  B00KGCLROK        5   \n",
       "477169  B00KGCLROK        5   \n",
       "477170  B00KKXCJQU        5   \n",
       "477171  B00KKXCJQU        5   \n",
       "477172  B00KKXCJQU        5   \n",
       "477173  B00KKXCJQU        5   \n",
       "477174  B00KKXCJQU        5   \n",
       "477175  B00KKXCJQU        5   \n",
       "477176  B00KKXCJQU        5   \n",
       "477177  B00KKXCJQU        5   \n",
       "477178  B00KKXCJQU        5   \n",
       "\n",
       "                                               reviewText   reviewTime  \\\n",
       "0       Very oily and creamy. Not at all what I expect...  01 30, 2014   \n",
       "1       This palette was a decent price and I was look...  04 18, 2014   \n",
       "2       The texture of this concealer pallet is fantas...   09 6, 2013   \n",
       "3       I really can't tell what exactly this thing is...   12 8, 2013   \n",
       "4       It was a little smaller than I expected, but t...  10 19, 2013   \n",
       "5       I was very happy to get this palette, now I wi...  04 15, 2013   \n",
       "6       PLEASE DONT DO IT! this just rachett the palet...  08 16, 2013   \n",
       "7       Chalky,Not Pigmented,Wears off easily,Not a Co...   09 4, 2013   \n",
       "8       Did nothing for me. Stings when I put it on. I...  07 13, 2014   \n",
       "9       I bought this product to get rid of the dark s...  12 27, 2013   \n",
       "10      I have mixed feelings about this product. When...  05 20, 2014   \n",
       "11      Did nothing for my skin. Used as suggested and...  02 18, 2014   \n",
       "12      I bought this product about 3 months ago, I fi...  01 23, 2014   \n",
       "13      This gell did nothing at all. I religiously pu...  01 11, 2014   \n",
       "14      i got this to get rid of a scar and it did jus...  02 18, 2014   \n",
       "15      I used it for anal bleaching and it burned a b...   04 6, 2014   \n",
       "16      I order this cream along with their soap. It a...  09 14, 2013   \n",
       "17      Good product. Use a little bit on your spot an...  10 18, 2013   \n",
       "18      I didn't use it past a week. The reason why is...   11 1, 2013   \n",
       "19      I haven't been a big fan of Prada's fragrances...  09 19, 2011   \n",
       "20      We gave these as gifts and everyone that recei...  08 10, 2013   \n",
       "21      This is the first fragrance by Prada that I lo...  11 28, 2011   \n",
       "22      So I got this about a month ago. I had no plan...  05 27, 2012   \n",
       "23      This product has a very fruity scent which is ...   02 2, 2013   \n",
       "24      I'm very picky when it comes to fragrance. I l...  03 11, 2014   \n",
       "25      bright crystals reminds me of Victoria Secrets...  12 19, 2011   \n",
       "26      Got this product and I never heard of this so ...   09 8, 2013   \n",
       "27      This is a beautiful perfume! Nice, clean scent...   02 2, 2014   \n",
       "28      This is the real Versace Bright Crystal fragra...  02 14, 2014   \n",
       "29      I love it! and will continue using it but it's...  02 12, 2014   \n",
       "...                                                   ...          ...   \n",
       "477149  I really like this shirt, very comfortable and...  06 22, 2014   \n",
       "477150                                For tiny teenagers.  07 20, 2014   \n",
       "477151  Like these pants, 1st time I wore them I rippe...   06 6, 2014   \n",
       "477152  I should have waited until I owned the first p...   07 7, 2014   \n",
       "477153  Arrived with what looked like a bleach stain o...  06 23, 2014   \n",
       "477154  Trying to decide if return or just give away t...   06 5, 2014   \n",
       "477155  This is a (2) pack of balcalavas that can be c...  06 27, 2014   \n",
       "477156  I really wish I had these a few months ago whe...   06 7, 2014   \n",
       "477157  If you are an outdoor person and are outdoors ...   06 4, 2014   \n",
       "477158  l  know now just what I am going as for Hallow...  06 16, 2014   \n",
       "477159  I go walking a lot in all kinds of weather and...  06 16, 2014   \n",
       "477160  This two pack of Balaclavas makes for a very n...   06 9, 2014   \n",
       "477161  Well, the first thing I did was try the balacl...  06 13, 2014   \n",
       "477162  While balaclavas can be used for a variety of ...  06 13, 2014   \n",
       "477163  This is truly a year round product. Here in th...  06 21, 2014   \n",
       "477164  Nice material, but not as nice as  silk or mer...   06 9, 2014   \n",
       "477165  These were a free sample for review.  I was ex...  06 21, 2014   \n",
       "477166  My stepmother does yoga in bare feet or regula...   07 3, 2014   \n",
       "477167  These socks are very nicely made and quite com...  06 22, 2014   \n",
       "477168  You don&#8217;t have to be a yoga or martial a...   07 5, 2014   \n",
       "477169  These are cozy and complements well for yoga. ...  06 24, 2014   \n",
       "477170  I really hate my husband's packing system. He ...   06 9, 2014   \n",
       "477171  *Disclosure: I was contacted by a rep for Shac...  07 18, 2014   \n",
       "477172  This set of travel organizers includes four pi...  06 13, 2014   \n",
       "477173  When I pack it looks like a disaster area in a...   06 9, 2014   \n",
       "477174  I don't normally go ga-ga over a product very ...  06 24, 2014   \n",
       "477175  I've been traveling back and forth to England ...  06 26, 2014   \n",
       "477176  These are very nice packing cubes and the 18 x...   06 8, 2014   \n",
       "477177  I am on vacation with my family of four and th...   07 7, 2014   \n",
       "477178  When I signed up to receive a free set of Shac...  06 23, 2014   \n",
       "\n",
       "            reviewerID                                      reviewerName  \\\n",
       "0       A1YJEY40YUW4SE                                            Andrea   \n",
       "1        A60XNB876KYML                                        Jessica H.   \n",
       "2       A3G6XNM240RMWA                                             Karen   \n",
       "3       A1PQFP6SAJ6D80                                             Norah   \n",
       "4       A38FVHZTNQ271F                                         Nova Amor   \n",
       "5       A3BTN14HIZET6Z                    S. M. Randall \"WildHorseWoman\"   \n",
       "6       A1Z59RFKN0M5QL                                 tasha \"luvely12b\"   \n",
       "7        AWUO9P6PL1SY8                                     TreMagnifique   \n",
       "8       A3LMILRM9OC3SA                                               NaN   \n",
       "9       A30IP88QK3YUIO                               Amina Bint Ibraheem   \n",
       "10       APBQH4BS48CQO                                           Charmmy   \n",
       "11      A3FE8W8UV95U6B                                 Culture C Simmons   \n",
       "12      A1EVGDOTGFZOSS                           Jessica \"Anarchykisses\"   \n",
       "13       AP5WTCMP6DTRV                                           Layla B   \n",
       "14      A21IM16PQWKVO5                                          mdub9922   \n",
       "15      A1TLDR1V4O48PK                     Mickey O Neil \"Mickey O Neil\"   \n",
       "16       A6F8KH0J1AVYA                                            SanBen   \n",
       "17       AXPKZA7UZXKTT                                         Shirleyyy   \n",
       "18      A2SIAYDK7GG7QA                                      theredtranny   \n",
       "19      A1QV5IH6HDRN0L                                          armygirl   \n",
       "20      A3UQXHI88S7XAX                                         D. Greene   \n",
       "21      A2EK2CJNJUF7OQ                                             Nikki   \n",
       "22      A2GWNGQF9SHRE4                             Pholuke \"Lepa Shandy\"   \n",
       "23       ABV67T136UXFQ                                            Sandra   \n",
       "24      A2FQZKL2KIZACO                                          Ellie B.   \n",
       "25      A312RDWQYLAG7S                                               ltg   \n",
       "26      A3TYR1ALBZ2EU9                                       Mananagirl6   \n",
       "27       AUYVMLI0CBMYS                                          Shay1234   \n",
       "28      A2H0VDRANZMGGX                                         Shoe luva   \n",
       "29      A2MZDI3I5AEL74                            Y. Siani \"I love nini\"   \n",
       "...                ...                                               ...   \n",
       "477149   ANNHM5C3DX72Q                                    Tracey Simmons   \n",
       "477150  A2FENE35P9Z592                                            Amanda   \n",
       "477151    AODACROYFBAY                                   Denise M Nelson   \n",
       "477152  A3O26N290U3VI0                                            Khouri   \n",
       "477153  A15WDJOU6B9FLQ                               L. Atwood \"Bothell\"   \n",
       "477154   AG5N21TGDQWRJ                                       Lori Mohler   \n",
       "477155  A12DQZKRKTNF5E                                       Andrea Polk   \n",
       "477156  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477157   ABDR6IJ93HFIO                                   Daisy \"Daisy S\"   \n",
       "477158  A3BFDEBT5IV4UN  Dianne E. Socci-Tetro \"Never Judge a Book by ...   \n",
       "477159  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477160   ABUE0ALHKWKHC                                              Kiwi   \n",
       "477161  A1PI8VBCXXSGC7                                              Lynn   \n",
       "477162  A2XX2A4OJCDNLZ                               RatherLiveInKeyWest   \n",
       "477163  A2YKWYC3WQJX5J             Shannon Lastowski \"Queen of Caffeine\"   \n",
       "477164  A3UJRNI8UR4871                               Wulfstan \"wulfstan\"   \n",
       "477165  A34BZM6S9L7QI4                       Candy Cane \"Is it just me?\"   \n",
       "477166   A4WEZJOIZIV4U        Chuck Bittner \"Disabled comedian & gamer!\"   \n",
       "477167  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477168   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477169  A2NOW4U7W3F7RI                                               rpv   \n",
       "477170  A1W415JP5WEAJK                                            Alex S   \n",
       "477171   AX05DBU8IRUWY                                        C. Schmidt   \n",
       "477172   AEL6CQNQXONBX                                    Cute Chihuahua   \n",
       "477173   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477174  A2DG63DN704LOI                                            ESlayd   \n",
       "477175  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477176  A1UQBFCERIP7VJ                                    Margaret Picky   \n",
       "477177  A22CW0ZHY3NJH8                                            Noname   \n",
       "477178  A30VWT3R25QAVD          THE-DEADLY-DOG \"Living and Loving Life.\"   \n",
       "\n",
       "                                                  summary  unixReviewTime  \\\n",
       "0                                  Don't waste your money      1391040000   \n",
       "1                                             OK Palette!      1397779200   \n",
       "2                                           great quality      1378425600   \n",
       "3                                  Do not work on my face      1386460800   \n",
       "4                                              It's okay.      1382140800   \n",
       "5                                      Very nice palette!      1365984000   \n",
       "6                                                  smh!!!      1376611200   \n",
       "7       Chalky, Not Pigmented, Wears off easily, Not a...      1378252800   \n",
       "8             no Lightening, no Brightening,......NOTHING      1405209600   \n",
       "9                                             Its alright      1388102400   \n",
       "10                                        Mixed feelings.      1400544000   \n",
       "11                                                Nothing      1392681600   \n",
       "12                                             This works      1390435200   \n",
       "13                                           Does nothing      1389398400   \n",
       "14                                               it works      1392681600   \n",
       "15                                                  burns      1396742400   \n",
       "16                                        Did work for me      1379116800   \n",
       "17                                              excellent      1382054400   \n",
       "18                                            weird smell      1383264000   \n",
       "19                                Love the smell of this!      1316390400   \n",
       "20                                                  Happy      1376092800   \n",
       "21                                              Very good      1322438400   \n",
       "22                                       Lurrrrrrrrv.....      1338076800   \n",
       "23                                            Great Scent      1359763200   \n",
       "24                              Spring Garden in a Bottle      1394496000   \n",
       "25                                            fresh smell      1324252800   \n",
       "26                                          My new smell!      1378598400   \n",
       "27                                        One of my favs!      1391299200   \n",
       "28                                           Smells clean      1392336000   \n",
       "29       Love the smell but a shame it's not last as long      1392163200   \n",
       "...                                                   ...             ...   \n",
       "477149                                          Very nice      1403395200   \n",
       "477150                                        Teeny pants      1405814400   \n",
       "477151                                     fabric is thin      1402012800   \n",
       "477152                                  so, this is weird      1404691200   \n",
       "477153                                            Stained      1403481600   \n",
       "477154                                     just too small      1401926400   \n",
       "477155           Quality set with multiple configurations      1403827200   \n",
       "477156  I&#8217;m ready for another frigid blast (or a...      1402099200   \n",
       "477157  Wonderful for one who is outdoors in cold weat...      1401840000   \n",
       "477158  Look Mom I'm a Ninja...No, I'm a Motorcycle  M...      1402876800   \n",
       "477159                   Great for Winter or Chilly Walks      1402876800   \n",
       "477160        Nice soft protection from the elements.....      1402272000   \n",
       "477161  Love that my ears have two layers of protectio...      1402617600   \n",
       "477162  Balaclava 2 Pack - Black - Tan - 100% Polyeste...      1402617600   \n",
       "477163                     Fits under even a tight helmet      1403308800   \n",
       "477164                               Lightweight & useful      1402272000   \n",
       "477165                               Wanted to love these      1403308800   \n",
       "477166   My stepmother was impressed with the extra grip.      1404345600   \n",
       "477167     A bit fussy to get on, but they work very well      1403395200   \n",
       "477168  Very nice, comfortable non-slip socks for yoga...      1404518400   \n",
       "477169                                              Cozy!      1403568000   \n",
       "477170                            Even Husbands can do it      1402272000   \n",
       "477171                                    Not for squares      1405641600   \n",
       "477172  Can be used for organization but they are grea...      1402617600   \n",
       "477173             End of my packing nightmare system ...      1402272000   \n",
       "477174     These have literally changed the way I travel!      1403568000   \n",
       "477175                       Wonderful for Better Packing      1403740800   \n",
       "477176               Convenient, lightweight, and durable      1402185600   \n",
       "477177                   Holds Up Well In Real World Test      1404691200   \n",
       "477178  Don't Travel? Still Way too Useful for 'Averag...      1403481600   \n",
       "\n",
       "        helpful  total  \n",
       "0             3      4  \n",
       "1             1      1  \n",
       "2             0      1  \n",
       "3             2      2  \n",
       "4             0      0  \n",
       "5             1      2  \n",
       "6             1      3  \n",
       "7             0      1  \n",
       "8             0      0  \n",
       "9             0      0  \n",
       "10            0      0  \n",
       "11            0      0  \n",
       "12            0      1  \n",
       "13            0      0  \n",
       "14            0      1  \n",
       "15            0      0  \n",
       "16            2      4  \n",
       "17            2      4  \n",
       "18            0      1  \n",
       "19           24     24  \n",
       "20            0      0  \n",
       "21            1      1  \n",
       "22            2      4  \n",
       "23            0      0  \n",
       "24            1      1  \n",
       "25            0      1  \n",
       "26            0      0  \n",
       "27            0      1  \n",
       "28            1      2  \n",
       "29            0      0  \n",
       "...         ...    ...  \n",
       "477149        0      0  \n",
       "477150        0      0  \n",
       "477151        2      2  \n",
       "477152        0      0  \n",
       "477153        1      1  \n",
       "477154        0      0  \n",
       "477155        1      1  \n",
       "477156        1      1  \n",
       "477157        2      3  \n",
       "477158        4      5  \n",
       "477159        4      5  \n",
       "477160        4      7  \n",
       "477161        5      6  \n",
       "477162        2      3  \n",
       "477163        7      8  \n",
       "477164        2      3  \n",
       "477165        1      1  \n",
       "477166        0      0  \n",
       "477167        0      0  \n",
       "477168        1      1  \n",
       "477169        0      0  \n",
       "477170        1      1  \n",
       "477171        0      0  \n",
       "477172        2      2  \n",
       "477173        1      1  \n",
       "477174        0      1  \n",
       "477175        0      0  \n",
       "477176        1      1  \n",
       "477177        2      2  \n",
       "477178        0      1  \n",
       "\n",
       "[477179 rows x 10 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result.to_csv('reviews.csv', sep=',', header=False,index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>overall</th>\n",
       "      <th>reviewText</th>\n",
       "      <th>reviewTime</th>\n",
       "      <th>reviewerID</th>\n",
       "      <th>reviewerName</th>\n",
       "      <th>summary</th>\n",
       "      <th>unixReviewTime</th>\n",
       "      <th>helpful</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>Very oily and creamy. Not at all what I expect...</td>\n",
       "      <td>01 30, 2014</td>\n",
       "      <td>A1YJEY40YUW4SE</td>\n",
       "      <td>Andrea</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>1391040000</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>This palette was a decent price and I was look...</td>\n",
       "      <td>04 18, 2014</td>\n",
       "      <td>A60XNB876KYML</td>\n",
       "      <td>Jessica H.</td>\n",
       "      <td>OK Palette!</td>\n",
       "      <td>1397779200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>4</td>\n",
       "      <td>The texture of this concealer pallet is fantas...</td>\n",
       "      <td>09 6, 2013</td>\n",
       "      <td>A3G6XNM240RMWA</td>\n",
       "      <td>Karen</td>\n",
       "      <td>great quality</td>\n",
       "      <td>1378425600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>I really can't tell what exactly this thing is...</td>\n",
       "      <td>12 8, 2013</td>\n",
       "      <td>A1PQFP6SAJ6D80</td>\n",
       "      <td>Norah</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>1386460800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>It was a little smaller than I expected, but t...</td>\n",
       "      <td>10 19, 2013</td>\n",
       "      <td>A38FVHZTNQ271F</td>\n",
       "      <td>Nova Amor</td>\n",
       "      <td>It's okay.</td>\n",
       "      <td>1382140800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>5</td>\n",
       "      <td>I was very happy to get this palette, now I wi...</td>\n",
       "      <td>04 15, 2013</td>\n",
       "      <td>A3BTN14HIZET6Z</td>\n",
       "      <td>S. M. Randall \"WildHorseWoman\"</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1365984000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>PLEASE DONT DO IT! this just rachett the palet...</td>\n",
       "      <td>08 16, 2013</td>\n",
       "      <td>A1Z59RFKN0M5QL</td>\n",
       "      <td>tasha \"luvely12b\"</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1376611200</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>Chalky,Not Pigmented,Wears off easily,Not a Co...</td>\n",
       "      <td>09 4, 2013</td>\n",
       "      <td>AWUO9P6PL1SY8</td>\n",
       "      <td>TreMagnifique</td>\n",
       "      <td>Chalky, Not Pigmented, Wears off easily, Not a...</td>\n",
       "      <td>1378252800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>Did nothing for me. Stings when I put it on. I...</td>\n",
       "      <td>07 13, 2014</td>\n",
       "      <td>A3LMILRM9OC3SA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no Lightening, no Brightening,......NOTHING</td>\n",
       "      <td>1405209600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I bought this product to get rid of the dark s...</td>\n",
       "      <td>12 27, 2013</td>\n",
       "      <td>A30IP88QK3YUIO</td>\n",
       "      <td>Amina Bint Ibraheem</td>\n",
       "      <td>Its alright</td>\n",
       "      <td>1388102400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I have mixed feelings about this product. When...</td>\n",
       "      <td>05 20, 2014</td>\n",
       "      <td>APBQH4BS48CQO</td>\n",
       "      <td>Charmmy</td>\n",
       "      <td>Mixed feelings.</td>\n",
       "      <td>1400544000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>1</td>\n",
       "      <td>Did nothing for my skin. Used as suggested and...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A3FE8W8UV95U6B</td>\n",
       "      <td>Culture C Simmons</td>\n",
       "      <td>Nothing</td>\n",
       "      <td>1392681600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>I bought this product about 3 months ago, I fi...</td>\n",
       "      <td>01 23, 2014</td>\n",
       "      <td>A1EVGDOTGFZOSS</td>\n",
       "      <td>Jessica \"Anarchykisses\"</td>\n",
       "      <td>This works</td>\n",
       "      <td>1390435200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>1</td>\n",
       "      <td>This gell did nothing at all. I religiously pu...</td>\n",
       "      <td>01 11, 2014</td>\n",
       "      <td>AP5WTCMP6DTRV</td>\n",
       "      <td>Layla B</td>\n",
       "      <td>Does nothing</td>\n",
       "      <td>1389398400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>i got this to get rid of a scar and it did jus...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A21IM16PQWKVO5</td>\n",
       "      <td>mdub9922</td>\n",
       "      <td>it works</td>\n",
       "      <td>1392681600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>I used it for anal bleaching and it burned a b...</td>\n",
       "      <td>04 6, 2014</td>\n",
       "      <td>A1TLDR1V4O48PK</td>\n",
       "      <td>Mickey O Neil \"Mickey O Neil\"</td>\n",
       "      <td>burns</td>\n",
       "      <td>1396742400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>I order this cream along with their soap. It a...</td>\n",
       "      <td>09 14, 2013</td>\n",
       "      <td>A6F8KH0J1AVYA</td>\n",
       "      <td>SanBen</td>\n",
       "      <td>Did work for me</td>\n",
       "      <td>1379116800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>4</td>\n",
       "      <td>Good product. Use a little bit on your spot an...</td>\n",
       "      <td>10 18, 2013</td>\n",
       "      <td>AXPKZA7UZXKTT</td>\n",
       "      <td>Shirleyyy</td>\n",
       "      <td>excellent</td>\n",
       "      <td>1382054400</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I didn't use it past a week. The reason why is...</td>\n",
       "      <td>11 1, 2013</td>\n",
       "      <td>A2SIAYDK7GG7QA</td>\n",
       "      <td>theredtranny</td>\n",
       "      <td>weird smell</td>\n",
       "      <td>1383264000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>I haven't been a big fan of Prada's fragrances...</td>\n",
       "      <td>09 19, 2011</td>\n",
       "      <td>A1QV5IH6HDRN0L</td>\n",
       "      <td>armygirl</td>\n",
       "      <td>Love the smell of this!</td>\n",
       "      <td>1316390400</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>We gave these as gifts and everyone that recei...</td>\n",
       "      <td>08 10, 2013</td>\n",
       "      <td>A3UQXHI88S7XAX</td>\n",
       "      <td>D. Greene</td>\n",
       "      <td>Happy</td>\n",
       "      <td>1376092800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the first fragrance by Prada that I lo...</td>\n",
       "      <td>11 28, 2011</td>\n",
       "      <td>A2EK2CJNJUF7OQ</td>\n",
       "      <td>Nikki</td>\n",
       "      <td>Very good</td>\n",
       "      <td>1322438400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>So I got this about a month ago. I had no plan...</td>\n",
       "      <td>05 27, 2012</td>\n",
       "      <td>A2GWNGQF9SHRE4</td>\n",
       "      <td>Pholuke \"Lepa Shandy\"</td>\n",
       "      <td>Lurrrrrrrrv.....</td>\n",
       "      <td>1338076800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>This product has a very fruity scent which is ...</td>\n",
       "      <td>02 2, 2013</td>\n",
       "      <td>ABV67T136UXFQ</td>\n",
       "      <td>Sandra</td>\n",
       "      <td>Great Scent</td>\n",
       "      <td>1359763200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>I'm very picky when it comes to fragrance. I l...</td>\n",
       "      <td>03 11, 2014</td>\n",
       "      <td>A2FQZKL2KIZACO</td>\n",
       "      <td>Ellie B.</td>\n",
       "      <td>Spring Garden in a Bottle</td>\n",
       "      <td>1394496000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>3</td>\n",
       "      <td>bright crystals reminds me of Victoria Secrets...</td>\n",
       "      <td>12 19, 2011</td>\n",
       "      <td>A312RDWQYLAG7S</td>\n",
       "      <td>ltg</td>\n",
       "      <td>fresh smell</td>\n",
       "      <td>1324252800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>Got this product and I never heard of this so ...</td>\n",
       "      <td>09 8, 2013</td>\n",
       "      <td>A3TYR1ALBZ2EU9</td>\n",
       "      <td>Mananagirl6</td>\n",
       "      <td>My new smell!</td>\n",
       "      <td>1378598400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a beautiful perfume! Nice, clean scent...</td>\n",
       "      <td>02 2, 2014</td>\n",
       "      <td>AUYVMLI0CBMYS</td>\n",
       "      <td>Shay1234</td>\n",
       "      <td>One of my favs!</td>\n",
       "      <td>1391299200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the real Versace Bright Crystal fragra...</td>\n",
       "      <td>02 14, 2014</td>\n",
       "      <td>A2H0VDRANZMGGX</td>\n",
       "      <td>Shoe luva</td>\n",
       "      <td>Smells clean</td>\n",
       "      <td>1392336000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>3</td>\n",
       "      <td>I love it! and will continue using it but it's...</td>\n",
       "      <td>02 12, 2014</td>\n",
       "      <td>A2MZDI3I5AEL74</td>\n",
       "      <td>Y. Siani \"I love nini\"</td>\n",
       "      <td>Love the smell but a shame it's not last as long</td>\n",
       "      <td>1392163200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477149</th>\n",
       "      <td>B00KA602SY</td>\n",
       "      <td>5</td>\n",
       "      <td>I really like this shirt, very comfortable and...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>ANNHM5C3DX72Q</td>\n",
       "      <td>Tracey Simmons</td>\n",
       "      <td>Very nice</td>\n",
       "      <td>1403395200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477150</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>For tiny teenagers.</td>\n",
       "      <td>07 20, 2014</td>\n",
       "      <td>A2FENE35P9Z592</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Teeny pants</td>\n",
       "      <td>1405814400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477151</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>4</td>\n",
       "      <td>Like these pants, 1st time I wore them I rippe...</td>\n",
       "      <td>06 6, 2014</td>\n",
       "      <td>AODACROYFBAY</td>\n",
       "      <td>Denise M Nelson</td>\n",
       "      <td>fabric is thin</td>\n",
       "      <td>1402012800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477152</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>3</td>\n",
       "      <td>I should have waited until I owned the first p...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A3O26N290U3VI0</td>\n",
       "      <td>Khouri</td>\n",
       "      <td>so, this is weird</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477153</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>1</td>\n",
       "      <td>Arrived with what looked like a bleach stain o...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A15WDJOU6B9FLQ</td>\n",
       "      <td>L. Atwood \"Bothell\"</td>\n",
       "      <td>Stained</td>\n",
       "      <td>1403481600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477154</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>Trying to decide if return or just give away t...</td>\n",
       "      <td>06 5, 2014</td>\n",
       "      <td>AG5N21TGDQWRJ</td>\n",
       "      <td>Lori Mohler</td>\n",
       "      <td>just too small</td>\n",
       "      <td>1401926400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477155</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a (2) pack of balcalavas that can be c...</td>\n",
       "      <td>06 27, 2014</td>\n",
       "      <td>A12DQZKRKTNF5E</td>\n",
       "      <td>Andrea Polk</td>\n",
       "      <td>Quality set with multiple configurations</td>\n",
       "      <td>1403827200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477156</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>I really wish I had these a few months ago whe...</td>\n",
       "      <td>06 7, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>I&amp;#8217;m ready for another frigid blast (or a...</td>\n",
       "      <td>1402099200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477157</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>If you are an outdoor person and are outdoors ...</td>\n",
       "      <td>06 4, 2014</td>\n",
       "      <td>ABDR6IJ93HFIO</td>\n",
       "      <td>Daisy \"Daisy S\"</td>\n",
       "      <td>Wonderful for one who is outdoors in cold weat...</td>\n",
       "      <td>1401840000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477158</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>l  know now just what I am going as for Hallow...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A3BFDEBT5IV4UN</td>\n",
       "      <td>Dianne E. Socci-Tetro \"Never Judge a Book by ...</td>\n",
       "      <td>Look Mom I'm a Ninja...No, I'm a Motorcycle  M...</td>\n",
       "      <td>1402876800</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477159</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>I go walking a lot in all kinds of weather and...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Great for Winter or Chilly Walks</td>\n",
       "      <td>1402876800</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477160</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This two pack of Balaclavas makes for a very n...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ABUE0ALHKWKHC</td>\n",
       "      <td>Kiwi</td>\n",
       "      <td>Nice soft protection from the elements.....</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477161</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>Well, the first thing I did was try the balacl...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A1PI8VBCXXSGC7</td>\n",
       "      <td>Lynn</td>\n",
       "      <td>Love that my ears have two layers of protectio...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477162</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>While balaclavas can be used for a variety of ...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A2XX2A4OJCDNLZ</td>\n",
       "      <td>RatherLiveInKeyWest</td>\n",
       "      <td>Balaclava 2 Pack - Black - Tan - 100% Polyeste...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477163</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This is truly a year round product. Here in th...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A2YKWYC3WQJX5J</td>\n",
       "      <td>Shannon Lastowski \"Queen of Caffeine\"</td>\n",
       "      <td>Fits under even a tight helmet</td>\n",
       "      <td>1403308800</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477164</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>Nice material, but not as nice as  silk or mer...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A3UJRNI8UR4871</td>\n",
       "      <td>Wulfstan \"wulfstan\"</td>\n",
       "      <td>Lightweight &amp; useful</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477165</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>2</td>\n",
       "      <td>These were a free sample for review.  I was ex...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A34BZM6S9L7QI4</td>\n",
       "      <td>Candy Cane \"Is it just me?\"</td>\n",
       "      <td>Wanted to love these</td>\n",
       "      <td>1403308800</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477166</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>My stepmother does yoga in bare feet or regula...</td>\n",
       "      <td>07 3, 2014</td>\n",
       "      <td>A4WEZJOIZIV4U</td>\n",
       "      <td>Chuck Bittner \"Disabled comedian &amp; gamer!\"</td>\n",
       "      <td>My stepmother was impressed with the extra grip.</td>\n",
       "      <td>1404345600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477167</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>These socks are very nicely made and quite com...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>A bit fussy to get on, but they work very well</td>\n",
       "      <td>1403395200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477168</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>You don&amp;#8217;t have to be a yoga or martial a...</td>\n",
       "      <td>07 5, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>Very nice, comfortable non-slip socks for yoga...</td>\n",
       "      <td>1404518400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477169</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>These are cozy and complements well for yoga. ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2NOW4U7W3F7RI</td>\n",
       "      <td>rpv</td>\n",
       "      <td>Cozy!</td>\n",
       "      <td>1403568000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477170</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I really hate my husband's packing system. He ...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A1W415JP5WEAJK</td>\n",
       "      <td>Alex S</td>\n",
       "      <td>Even Husbands can do it</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477171</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>*Disclosure: I was contacted by a rep for Shac...</td>\n",
       "      <td>07 18, 2014</td>\n",
       "      <td>AX05DBU8IRUWY</td>\n",
       "      <td>C. Schmidt</td>\n",
       "      <td>Not for squares</td>\n",
       "      <td>1405641600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477172</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>This set of travel organizers includes four pi...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>AEL6CQNQXONBX</td>\n",
       "      <td>Cute Chihuahua</td>\n",
       "      <td>Can be used for organization but they are grea...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477173</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>When I pack it looks like a disaster area in a...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>End of my packing nightmare system ...</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477174</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I don't normally go ga-ga over a product very ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2DG63DN704LOI</td>\n",
       "      <td>ESlayd</td>\n",
       "      <td>These have literally changed the way I travel!</td>\n",
       "      <td>1403568000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477175</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I've been traveling back and forth to England ...</td>\n",
       "      <td>06 26, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Wonderful for Better Packing</td>\n",
       "      <td>1403740800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477176</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>These are very nice packing cubes and the 18 x...</td>\n",
       "      <td>06 8, 2014</td>\n",
       "      <td>A1UQBFCERIP7VJ</td>\n",
       "      <td>Margaret Picky</td>\n",
       "      <td>Convenient, lightweight, and durable</td>\n",
       "      <td>1402185600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477177</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I am on vacation with my family of four and th...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A22CW0ZHY3NJH8</td>\n",
       "      <td>Noname</td>\n",
       "      <td>Holds Up Well In Real World Test</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477178</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>When I signed up to receive a free set of Shac...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A30VWT3R25QAVD</td>\n",
       "      <td>THE-DEADLY-DOG \"Living and Loving Life.\"</td>\n",
       "      <td>Don't Travel? Still Way too Useful for 'Averag...</td>\n",
       "      <td>1403481600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477179 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              asin  overall  \\\n",
       "0       7806397051        1   \n",
       "1       7806397051        3   \n",
       "2       7806397051        4   \n",
       "3       7806397051        2   \n",
       "4       7806397051        3   \n",
       "5       7806397051        5   \n",
       "6       7806397051        1   \n",
       "7       7806397051        2   \n",
       "8       9759091062        2   \n",
       "9       9759091062        3   \n",
       "10      9759091062        3   \n",
       "11      9759091062        1   \n",
       "12      9759091062        5   \n",
       "13      9759091062        1   \n",
       "14      9759091062        5   \n",
       "15      9759091062        2   \n",
       "16      9759091062        5   \n",
       "17      9759091062        4   \n",
       "18      9759091062        3   \n",
       "19      9788072216        5   \n",
       "20      9788072216        5   \n",
       "21      9788072216        5   \n",
       "22      9788072216        5   \n",
       "23      9788072216        5   \n",
       "24      9790790961        5   \n",
       "25      9790790961        3   \n",
       "26      9790790961        5   \n",
       "27      9790790961        5   \n",
       "28      9790790961        5   \n",
       "29      9790790961        3   \n",
       "...            ...      ...   \n",
       "477149  B00KA602SY        5   \n",
       "477150  B00KCWMG5S        2   \n",
       "477151  B00KCWMG5S        4   \n",
       "477152  B00KCWMG5S        3   \n",
       "477153  B00KCWMG5S        1   \n",
       "477154  B00KCWMG5S        2   \n",
       "477155  B00KF9180W        5   \n",
       "477156  B00KF9180W        5   \n",
       "477157  B00KF9180W        5   \n",
       "477158  B00KF9180W        5   \n",
       "477159  B00KF9180W        4   \n",
       "477160  B00KF9180W        5   \n",
       "477161  B00KF9180W        5   \n",
       "477162  B00KF9180W        5   \n",
       "477163  B00KF9180W        5   \n",
       "477164  B00KF9180W        4   \n",
       "477165  B00KGCLROK        2   \n",
       "477166  B00KGCLROK        5   \n",
       "477167  B00KGCLROK        5   \n",
       "477168  B00KGCLROK        5   \n",
       "477169  B00KGCLROK        5   \n",
       "477170  B00KKXCJQU        5   \n",
       "477171  B00KKXCJQU        5   \n",
       "477172  B00KKXCJQU        5   \n",
       "477173  B00KKXCJQU        5   \n",
       "477174  B00KKXCJQU        5   \n",
       "477175  B00KKXCJQU        5   \n",
       "477176  B00KKXCJQU        5   \n",
       "477177  B00KKXCJQU        5   \n",
       "477178  B00KKXCJQU        5   \n",
       "\n",
       "                                               reviewText   reviewTime  \\\n",
       "0       Very oily and creamy. Not at all what I expect...  01 30, 2014   \n",
       "1       This palette was a decent price and I was look...  04 18, 2014   \n",
       "2       The texture of this concealer pallet is fantas...   09 6, 2013   \n",
       "3       I really can't tell what exactly this thing is...   12 8, 2013   \n",
       "4       It was a little smaller than I expected, but t...  10 19, 2013   \n",
       "5       I was very happy to get this palette, now I wi...  04 15, 2013   \n",
       "6       PLEASE DONT DO IT! this just rachett the palet...  08 16, 2013   \n",
       "7       Chalky,Not Pigmented,Wears off easily,Not a Co...   09 4, 2013   \n",
       "8       Did nothing for me. Stings when I put it on. I...  07 13, 2014   \n",
       "9       I bought this product to get rid of the dark s...  12 27, 2013   \n",
       "10      I have mixed feelings about this product. When...  05 20, 2014   \n",
       "11      Did nothing for my skin. Used as suggested and...  02 18, 2014   \n",
       "12      I bought this product about 3 months ago, I fi...  01 23, 2014   \n",
       "13      This gell did nothing at all. I religiously pu...  01 11, 2014   \n",
       "14      i got this to get rid of a scar and it did jus...  02 18, 2014   \n",
       "15      I used it for anal bleaching and it burned a b...   04 6, 2014   \n",
       "16      I order this cream along with their soap. It a...  09 14, 2013   \n",
       "17      Good product. Use a little bit on your spot an...  10 18, 2013   \n",
       "18      I didn't use it past a week. The reason why is...   11 1, 2013   \n",
       "19      I haven't been a big fan of Prada's fragrances...  09 19, 2011   \n",
       "20      We gave these as gifts and everyone that recei...  08 10, 2013   \n",
       "21      This is the first fragrance by Prada that I lo...  11 28, 2011   \n",
       "22      So I got this about a month ago. I had no plan...  05 27, 2012   \n",
       "23      This product has a very fruity scent which is ...   02 2, 2013   \n",
       "24      I'm very picky when it comes to fragrance. I l...  03 11, 2014   \n",
       "25      bright crystals reminds me of Victoria Secrets...  12 19, 2011   \n",
       "26      Got this product and I never heard of this so ...   09 8, 2013   \n",
       "27      This is a beautiful perfume! Nice, clean scent...   02 2, 2014   \n",
       "28      This is the real Versace Bright Crystal fragra...  02 14, 2014   \n",
       "29      I love it! and will continue using it but it's...  02 12, 2014   \n",
       "...                                                   ...          ...   \n",
       "477149  I really like this shirt, very comfortable and...  06 22, 2014   \n",
       "477150                                For tiny teenagers.  07 20, 2014   \n",
       "477151  Like these pants, 1st time I wore them I rippe...   06 6, 2014   \n",
       "477152  I should have waited until I owned the first p...   07 7, 2014   \n",
       "477153  Arrived with what looked like a bleach stain o...  06 23, 2014   \n",
       "477154  Trying to decide if return or just give away t...   06 5, 2014   \n",
       "477155  This is a (2) pack of balcalavas that can be c...  06 27, 2014   \n",
       "477156  I really wish I had these a few months ago whe...   06 7, 2014   \n",
       "477157  If you are an outdoor person and are outdoors ...   06 4, 2014   \n",
       "477158  l  know now just what I am going as for Hallow...  06 16, 2014   \n",
       "477159  I go walking a lot in all kinds of weather and...  06 16, 2014   \n",
       "477160  This two pack of Balaclavas makes for a very n...   06 9, 2014   \n",
       "477161  Well, the first thing I did was try the balacl...  06 13, 2014   \n",
       "477162  While balaclavas can be used for a variety of ...  06 13, 2014   \n",
       "477163  This is truly a year round product. Here in th...  06 21, 2014   \n",
       "477164  Nice material, but not as nice as  silk or mer...   06 9, 2014   \n",
       "477165  These were a free sample for review.  I was ex...  06 21, 2014   \n",
       "477166  My stepmother does yoga in bare feet or regula...   07 3, 2014   \n",
       "477167  These socks are very nicely made and quite com...  06 22, 2014   \n",
       "477168  You don&#8217;t have to be a yoga or martial a...   07 5, 2014   \n",
       "477169  These are cozy and complements well for yoga. ...  06 24, 2014   \n",
       "477170  I really hate my husband's packing system. He ...   06 9, 2014   \n",
       "477171  *Disclosure: I was contacted by a rep for Shac...  07 18, 2014   \n",
       "477172  This set of travel organizers includes four pi...  06 13, 2014   \n",
       "477173  When I pack it looks like a disaster area in a...   06 9, 2014   \n",
       "477174  I don't normally go ga-ga over a product very ...  06 24, 2014   \n",
       "477175  I've been traveling back and forth to England ...  06 26, 2014   \n",
       "477176  These are very nice packing cubes and the 18 x...   06 8, 2014   \n",
       "477177  I am on vacation with my family of four and th...   07 7, 2014   \n",
       "477178  When I signed up to receive a free set of Shac...  06 23, 2014   \n",
       "\n",
       "            reviewerID                                      reviewerName  \\\n",
       "0       A1YJEY40YUW4SE                                            Andrea   \n",
       "1        A60XNB876KYML                                        Jessica H.   \n",
       "2       A3G6XNM240RMWA                                             Karen   \n",
       "3       A1PQFP6SAJ6D80                                             Norah   \n",
       "4       A38FVHZTNQ271F                                         Nova Amor   \n",
       "5       A3BTN14HIZET6Z                    S. M. Randall \"WildHorseWoman\"   \n",
       "6       A1Z59RFKN0M5QL                                 tasha \"luvely12b\"   \n",
       "7        AWUO9P6PL1SY8                                     TreMagnifique   \n",
       "8       A3LMILRM9OC3SA                                               NaN   \n",
       "9       A30IP88QK3YUIO                               Amina Bint Ibraheem   \n",
       "10       APBQH4BS48CQO                                           Charmmy   \n",
       "11      A3FE8W8UV95U6B                                 Culture C Simmons   \n",
       "12      A1EVGDOTGFZOSS                           Jessica \"Anarchykisses\"   \n",
       "13       AP5WTCMP6DTRV                                           Layla B   \n",
       "14      A21IM16PQWKVO5                                          mdub9922   \n",
       "15      A1TLDR1V4O48PK                     Mickey O Neil \"Mickey O Neil\"   \n",
       "16       A6F8KH0J1AVYA                                            SanBen   \n",
       "17       AXPKZA7UZXKTT                                         Shirleyyy   \n",
       "18      A2SIAYDK7GG7QA                                      theredtranny   \n",
       "19      A1QV5IH6HDRN0L                                          armygirl   \n",
       "20      A3UQXHI88S7XAX                                         D. Greene   \n",
       "21      A2EK2CJNJUF7OQ                                             Nikki   \n",
       "22      A2GWNGQF9SHRE4                             Pholuke \"Lepa Shandy\"   \n",
       "23       ABV67T136UXFQ                                            Sandra   \n",
       "24      A2FQZKL2KIZACO                                          Ellie B.   \n",
       "25      A312RDWQYLAG7S                                               ltg   \n",
       "26      A3TYR1ALBZ2EU9                                       Mananagirl6   \n",
       "27       AUYVMLI0CBMYS                                          Shay1234   \n",
       "28      A2H0VDRANZMGGX                                         Shoe luva   \n",
       "29      A2MZDI3I5AEL74                            Y. Siani \"I love nini\"   \n",
       "...                ...                                               ...   \n",
       "477149   ANNHM5C3DX72Q                                    Tracey Simmons   \n",
       "477150  A2FENE35P9Z592                                            Amanda   \n",
       "477151    AODACROYFBAY                                   Denise M Nelson   \n",
       "477152  A3O26N290U3VI0                                            Khouri   \n",
       "477153  A15WDJOU6B9FLQ                               L. Atwood \"Bothell\"   \n",
       "477154   AG5N21TGDQWRJ                                       Lori Mohler   \n",
       "477155  A12DQZKRKTNF5E                                       Andrea Polk   \n",
       "477156  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477157   ABDR6IJ93HFIO                                   Daisy \"Daisy S\"   \n",
       "477158  A3BFDEBT5IV4UN  Dianne E. Socci-Tetro \"Never Judge a Book by ...   \n",
       "477159  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477160   ABUE0ALHKWKHC                                              Kiwi   \n",
       "477161  A1PI8VBCXXSGC7                                              Lynn   \n",
       "477162  A2XX2A4OJCDNLZ                               RatherLiveInKeyWest   \n",
       "477163  A2YKWYC3WQJX5J             Shannon Lastowski \"Queen of Caffeine\"   \n",
       "477164  A3UJRNI8UR4871                               Wulfstan \"wulfstan\"   \n",
       "477165  A34BZM6S9L7QI4                       Candy Cane \"Is it just me?\"   \n",
       "477166   A4WEZJOIZIV4U        Chuck Bittner \"Disabled comedian & gamer!\"   \n",
       "477167  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477168   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477169  A2NOW4U7W3F7RI                                               rpv   \n",
       "477170  A1W415JP5WEAJK                                            Alex S   \n",
       "477171   AX05DBU8IRUWY                                        C. Schmidt   \n",
       "477172   AEL6CQNQXONBX                                    Cute Chihuahua   \n",
       "477173   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477174  A2DG63DN704LOI                                            ESlayd   \n",
       "477175  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477176  A1UQBFCERIP7VJ                                    Margaret Picky   \n",
       "477177  A22CW0ZHY3NJH8                                            Noname   \n",
       "477178  A30VWT3R25QAVD          THE-DEADLY-DOG \"Living and Loving Life.\"   \n",
       "\n",
       "                                                  summary  unixReviewTime  \\\n",
       "0                                  Don't waste your money      1391040000   \n",
       "1                                             OK Palette!      1397779200   \n",
       "2                                           great quality      1378425600   \n",
       "3                                  Do not work on my face      1386460800   \n",
       "4                                              It's okay.      1382140800   \n",
       "5                                      Very nice palette!      1365984000   \n",
       "6                                                  smh!!!      1376611200   \n",
       "7       Chalky, Not Pigmented, Wears off easily, Not a...      1378252800   \n",
       "8             no Lightening, no Brightening,......NOTHING      1405209600   \n",
       "9                                             Its alright      1388102400   \n",
       "10                                        Mixed feelings.      1400544000   \n",
       "11                                                Nothing      1392681600   \n",
       "12                                             This works      1390435200   \n",
       "13                                           Does nothing      1389398400   \n",
       "14                                               it works      1392681600   \n",
       "15                                                  burns      1396742400   \n",
       "16                                        Did work for me      1379116800   \n",
       "17                                              excellent      1382054400   \n",
       "18                                            weird smell      1383264000   \n",
       "19                                Love the smell of this!      1316390400   \n",
       "20                                                  Happy      1376092800   \n",
       "21                                              Very good      1322438400   \n",
       "22                                       Lurrrrrrrrv.....      1338076800   \n",
       "23                                            Great Scent      1359763200   \n",
       "24                              Spring Garden in a Bottle      1394496000   \n",
       "25                                            fresh smell      1324252800   \n",
       "26                                          My new smell!      1378598400   \n",
       "27                                        One of my favs!      1391299200   \n",
       "28                                           Smells clean      1392336000   \n",
       "29       Love the smell but a shame it's not last as long      1392163200   \n",
       "...                                                   ...             ...   \n",
       "477149                                          Very nice      1403395200   \n",
       "477150                                        Teeny pants      1405814400   \n",
       "477151                                     fabric is thin      1402012800   \n",
       "477152                                  so, this is weird      1404691200   \n",
       "477153                                            Stained      1403481600   \n",
       "477154                                     just too small      1401926400   \n",
       "477155           Quality set with multiple configurations      1403827200   \n",
       "477156  I&#8217;m ready for another frigid blast (or a...      1402099200   \n",
       "477157  Wonderful for one who is outdoors in cold weat...      1401840000   \n",
       "477158  Look Mom I'm a Ninja...No, I'm a Motorcycle  M...      1402876800   \n",
       "477159                   Great for Winter or Chilly Walks      1402876800   \n",
       "477160        Nice soft protection from the elements.....      1402272000   \n",
       "477161  Love that my ears have two layers of protectio...      1402617600   \n",
       "477162  Balaclava 2 Pack - Black - Tan - 100% Polyeste...      1402617600   \n",
       "477163                     Fits under even a tight helmet      1403308800   \n",
       "477164                               Lightweight & useful      1402272000   \n",
       "477165                               Wanted to love these      1403308800   \n",
       "477166   My stepmother was impressed with the extra grip.      1404345600   \n",
       "477167     A bit fussy to get on, but they work very well      1403395200   \n",
       "477168  Very nice, comfortable non-slip socks for yoga...      1404518400   \n",
       "477169                                              Cozy!      1403568000   \n",
       "477170                            Even Husbands can do it      1402272000   \n",
       "477171                                    Not for squares      1405641600   \n",
       "477172  Can be used for organization but they are grea...      1402617600   \n",
       "477173             End of my packing nightmare system ...      1402272000   \n",
       "477174     These have literally changed the way I travel!      1403568000   \n",
       "477175                       Wonderful for Better Packing      1403740800   \n",
       "477176               Convenient, lightweight, and durable      1402185600   \n",
       "477177                   Holds Up Well In Real World Test      1404691200   \n",
       "477178  Don't Travel? Still Way too Useful for 'Averag...      1403481600   \n",
       "\n",
       "        helpful  total  \n",
       "0             3      4  \n",
       "1             1      1  \n",
       "2             0      1  \n",
       "3             2      2  \n",
       "4             0      0  \n",
       "5             1      2  \n",
       "6             1      3  \n",
       "7             0      1  \n",
       "8             0      0  \n",
       "9             0      0  \n",
       "10            0      0  \n",
       "11            0      0  \n",
       "12            0      1  \n",
       "13            0      0  \n",
       "14            0      1  \n",
       "15            0      0  \n",
       "16            2      4  \n",
       "17            2      4  \n",
       "18            0      1  \n",
       "19           24     24  \n",
       "20            0      0  \n",
       "21            1      1  \n",
       "22            2      4  \n",
       "23            0      0  \n",
       "24            1      1  \n",
       "25            0      1  \n",
       "26            0      0  \n",
       "27            0      1  \n",
       "28            1      2  \n",
       "29            0      0  \n",
       "...         ...    ...  \n",
       "477149        0      0  \n",
       "477150        0      0  \n",
       "477151        2      2  \n",
       "477152        0      0  \n",
       "477153        1      1  \n",
       "477154        0      0  \n",
       "477155        1      1  \n",
       "477156        1      1  \n",
       "477157        2      3  \n",
       "477158        4      5  \n",
       "477159        4      5  \n",
       "477160        4      7  \n",
       "477161        5      6  \n",
       "477162        2      3  \n",
       "477163        7      8  \n",
       "477164        2      3  \n",
       "477165        1      1  \n",
       "477166        0      0  \n",
       "477167        0      0  \n",
       "477168        1      1  \n",
       "477169        0      0  \n",
       "477170        1      1  \n",
       "477171        0      0  \n",
       "477172        2      2  \n",
       "477173        1      1  \n",
       "477174        0      1  \n",
       "477175        0      0  \n",
       "477176        1      1  \n",
       "477177        2      2  \n",
       "477178        0      1  \n",
       "\n",
       "[477179 rows x 10 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Loading csv to SQLite \n",
    "Fetch the score and recommendation summary using SQL queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amazon Reviews table executed\n",
      "CSV Loaded into SQLite\n"
     ]
    }
   ],
   "source": [
    "class csvrd(object):\n",
    "    def csvFile(self):\n",
    "\n",
    "        self.readFile('reviews.csv')\n",
    "\n",
    "    def readFile(self, filename):\n",
    "        conn = sqlite3.connect('amazonReviews.db')\n",
    "        cur = conn.cursor() \n",
    "        cur.execute(\"\"\"CREATE TABLE IF NOT EXISTS amazonReviews(asin INT,overall INT,reviewText varchar,reviewTime INTEGER, reviewerID varchar,reviewerName varchar,summary varchar,unixReviewTime INTEGER,helpful INT,total INT)\"\"\")\n",
    "        filename.encode('utf-8')\n",
    "        print \"Amazon Reviews table executed\"\n",
    "        with open(filename) as f:\n",
    "            reader = csv.reader(f)\n",
    "            for field in reader:\n",
    "                cur.execute(\"INSERT INTO amazonReviews VALUES (?,?,?,?,?,?,?,?,?,?);\", field)\n",
    "\n",
    "        print \"CSV Loaded into SQLite\"\n",
    "        conn.commit()\n",
    "        conn.close()\n",
    "\n",
    "c = csvrd().csvFile()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading the data from SQLite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>overall</th>\n",
       "      <th>reviewText</th>\n",
       "      <th>reviewTime</th>\n",
       "      <th>reviewerID</th>\n",
       "      <th>reviewerName</th>\n",
       "      <th>summary</th>\n",
       "      <th>unixReviewTime</th>\n",
       "      <th>helpful</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>Very oily and creamy. Not at all what I expect...</td>\n",
       "      <td>01 30, 2014</td>\n",
       "      <td>A1YJEY40YUW4SE</td>\n",
       "      <td>Andrea</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>1391040000</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>This palette was a decent price and I was look...</td>\n",
       "      <td>04 18, 2014</td>\n",
       "      <td>A60XNB876KYML</td>\n",
       "      <td>Jessica H.</td>\n",
       "      <td>OK Palette!</td>\n",
       "      <td>1397779200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>4</td>\n",
       "      <td>The texture of this concealer pallet is fantas...</td>\n",
       "      <td>09 6, 2013</td>\n",
       "      <td>A3G6XNM240RMWA</td>\n",
       "      <td>Karen</td>\n",
       "      <td>great quality</td>\n",
       "      <td>1378425600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>I really can't tell what exactly this thing is...</td>\n",
       "      <td>12 8, 2013</td>\n",
       "      <td>A1PQFP6SAJ6D80</td>\n",
       "      <td>Norah</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>1386460800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>It was a little smaller than I expected, but t...</td>\n",
       "      <td>10 19, 2013</td>\n",
       "      <td>A38FVHZTNQ271F</td>\n",
       "      <td>Nova Amor</td>\n",
       "      <td>It's okay.</td>\n",
       "      <td>1382140800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         asin  overall                                         reviewText  \\\n",
       "0  7806397051        1  Very oily and creamy. Not at all what I expect...   \n",
       "1  7806397051        3  This palette was a decent price and I was look...   \n",
       "2  7806397051        4  The texture of this concealer pallet is fantas...   \n",
       "3  7806397051        2  I really can't tell what exactly this thing is...   \n",
       "4  7806397051        3  It was a little smaller than I expected, but t...   \n",
       "\n",
       "    reviewTime      reviewerID reviewerName                 summary  \\\n",
       "0  01 30, 2014  A1YJEY40YUW4SE       Andrea  Don't waste your money   \n",
       "1  04 18, 2014   A60XNB876KYML   Jessica H.             OK Palette!   \n",
       "2   09 6, 2013  A3G6XNM240RMWA        Karen           great quality   \n",
       "3   12 8, 2013  A1PQFP6SAJ6D80        Norah  Do not work on my face   \n",
       "4  10 19, 2013  A38FVHZTNQ271F    Nova Amor              It's okay.   \n",
       "\n",
       "   unixReviewTime  helpful  total  \n",
       "0      1391040000        3      4  \n",
       "1      1397779200        1      1  \n",
       "2      1378425600        0      1  \n",
       "3      1386460800        2      2  \n",
       "4      1382140800        0      0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "con = sqlite3.connect('amazonReviews.db')\n",
    "\n",
    "pd.read_sql_query(\"SELECT * FROM amazonReviews LIMIT 5\", con)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ignoring the reviews having overall score equal to 3. \n",
    "If the overall score is above 3, then the label for it will be set to Positive\n",
    "else it will be set to Negative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "reviews = pd.read_sql_query(\"\"\"\n",
    "SELECT \n",
    "  overall, \n",
    "  summary, \n",
    "  helpful, \n",
    "  total\n",
    "FROM amazonReviews \n",
    "WHERE overall != 3\"\"\", con)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>overall</th>\n",
       "      <th>summary</th>\n",
       "      <th>helpful</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>great quality</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   overall                 summary  helpful  total\n",
       "0        1  Don't waste your money        3      4\n",
       "1        4           great quality        0      1\n",
       "2        2  Do not work on my face        2      2\n",
       "3        5      Very nice palette!        1      2\n",
       "4        1                  smh!!!        1      3"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#display data\n",
    "reviews.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sentiment column depicts the numeric score of being positive or negative\n",
    "usefulScore column depicts the boolean value of total number of votes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>overall</th>\n",
       "      <th>summary</th>\n",
       "      <th>helpful</th>\n",
       "      <th>total</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>usefulScore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>negative</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>great quality</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>positive</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>negative</td>\n",
       "      <td>useful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>positive</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>negative</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   overall                 summary  helpful  total sentiment usefulScore\n",
       "0        1  Don't waste your money        3      4  negative     useless\n",
       "1        4           great quality        0      1  positive     useless\n",
       "2        2  Do not work on my face        2      2  negative      useful\n",
       "3        5      Very nice palette!        1      2  positive     useless\n",
       "4        1                  smh!!!        1      3  negative     useless"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews[\"sentiment\"] = reviews[\"overall\"].apply(lambda score: \"positive\" if score > 3 else \"negative\")\n",
    "reviews[\"usefulScore\"] = (reviews[\"helpful\"]/reviews[\"total\"]).apply(lambda n: \"useful\" if n > 0.8 else \"useless\")\n",
    "\n",
    "reviews.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rows having overall score equal to 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>overall</th>\n",
       "      <th>summary</th>\n",
       "      <th>helpful</th>\n",
       "      <th>total</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>usefulScore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>positive</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5</td>\n",
       "      <td>This works</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>positive</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5</td>\n",
       "      <td>it works</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>positive</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5</td>\n",
       "      <td>Did work for me</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>positive</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5</td>\n",
       "      <td>Love the smell of this!</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>positive</td>\n",
       "      <td>useful</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    overall                  summary  helpful  total sentiment usefulScore\n",
       "3         5       Very nice palette!        1      2  positive     useless\n",
       "8         5               This works        0      1  positive     useless\n",
       "10        5                 it works        0      1  positive     useless\n",
       "12        5          Did work for me        2      4  positive     useless\n",
       "14        5  Love the smell of this!       24     24  positive      useful"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews[reviews.overall == 5].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "    .dataframe thead th {\n",
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       "    .dataframe tbody tr th {\n",
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       "      <th>0</th>\n",
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       "      <td>3</td>\n",
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       "      <td>negative</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>negative</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Nothing</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>negative</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>Does nothing</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>negative</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>Bad product</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>negative</td>\n",
       "      <td>useless</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    overall                 summary  helpful  total sentiment usefulScore\n",
       "0         1  Don't waste your money        3      4  negative     useless\n",
       "4         1                  smh!!!        1      3  negative     useless\n",
       "7         1                 Nothing        0      0  negative     useless\n",
       "9         1            Does nothing        0      0  negative     useless\n",
       "32        1             Bad product        0      0  negative     useless"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Rows having overall score equal to 1\n",
    "reviews[reviews.overall == 1].head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature extraction from reviewsText \n",
    "Assign new dimension to each word and give the word counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1018814 items in training data, 254704 in test data\n"
     ]
    }
   ],
   "source": [
    "regEx = re.compile('[^a-z]+')\n",
    "def cleanReviews(reviewText):\n",
    "    reviewText = reviewText.lower()\n",
    "    reviewText = regEx.sub(' ', reviewText).strip()\n",
    "    return reviewText\n",
    "\n",
    "reviews[\"summaryClean\"] = reviews[\"summary\"].apply(cleanReviews)\n",
    "\n",
    "train, test = train_test_split(reviews, test_size=0.2)\n",
    "print(\"%d items in training data, %d in test data\" % (len(train), len(test)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using TfidfTransformer().fit_transofrm \n",
    "to fit the train and test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "countVector = CountVectorizer(min_df = 1, ngram_range = (1, 4))\n",
    "X_train_counts = countVector.fit_transform(train[\"summaryClean\"])\n",
    "\n",
    "#applying tfidf to term frequency\n",
    "tfidf_transformer = TfidfTransformer()\n",
    "X_train_tfidf = tfidf_transformer.fit_transform(X_train_counts)\n",
    "\n",
    "X_new_counts = countVector.transform(test[\"summaryClean\"])\n",
    "X_test_tfidf = tfidf_transformer.transform(X_new_counts)\n",
    "\n",
    "y_train = train[\"sentiment\"]\n",
    "y_test = test[\"sentiment\"]\n",
    "\n",
    "prediction = dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Q+IO3jVJTWQUfx88hdcRkpuNLSiIAYOadK7A0MKLosLOwRFBkBKz9vJFXVIhqGtIvJ9x5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wulFP+zPh+I1LMzm7Tj3HswkJjQO14/JFH/DbSpE2GJ4pYQZzo2cgwGRt47g5ySivsW5edUjhPh\nzWtvUFT4GzevvcHNa29w/cprDHLcVinPAgA5eVOkJpggNcEERYXnoao+EwV5+5GR3E58Yx7ESScP\n7NMCB08+rchQK4Uav6LnZe6zK3iYEIluRta0ctMPnNEL1/+o1bl1WgUA6DmqI/pO7IZmnbjSoilx\n6Ti4/ByCLr8gtWcwGGjTm56WN3sFz/+an/5m3FUAewufn2UtxStJNVzjjYg1lbcS629ri7m3idcb\ng55ggl1LyMsJzgsb7v5XZD/bHJ1wKZxYqdvs8sEXt3lQkhf8txN3rr60cxfMu03EKFN5kgPApfBw\nfEoRL39a01nauTNm3SSkm+fevkmadEmCla4uzLS0EJudjfkBt3HjK2EgPs2hDrn8f2Lm9et4FhtL\nOXmMXkA/0dDlPuM4593N9AzxMT0JAOBkZkuqZ6Wlhy7GFghK+MGpzxYvYkO1nX53wBSYn9wC85Nb\n0FLfGAWlv/E1K1Xk1ntsXhYsT21Fcz0jJBfkIrEgl1T/+9h/YH5yC5qfJ0IUFeSY+F3OnZC7N+8E\n9xadaP3+ro2JM+yAX7vgvegMXj0Ih5f/AkzqsBbKqopo2aUhVh2aikETOiEuOgWfXv9ASdFvsf06\nD7bH6WPBcB7MFbQaOLS10Prj3J0Q/voH7f750dYT1D0AAFX1mRL1k5QiWtch5EUUlJVqjgMzm7/G\n0A+8dxgsAFMatMOjhEj0uXMAd/pMF9lmjtd4jqFn8+BsCB6cDaH1zDt54iVz/5/paGaGkNhYAIS3\n++ZejhjUsBHySkqw/sljjuGw0NHBj0zq8CmAkMxly+Q22rML63v0xKhmzZFdXAzfly9w5M+OQS9L\nK9z/Tn1O72zbgGPoT394j87166O3FXGkkpyfhzWPHuJuFCHZ28bEhCMII4zC0lIk5OTga3oavqal\nISGX+wH2Dn2GtiamaKCnByMNDdjo6ZN8MvhJzc9HQm4upy9eVj96CFs9fTTQ14ORugZMNAVDKPlx\nsuaKMd369g3m2iHwaN8BcgwGojIyEBTzA68SErDPWXzo6PXRY2G3zxe3I7mCN6o1KJKiMrD28pJZ\n+kv7OiYYZtUcF6M/cIy8hoIS/LoOFah7oucIRGancVb1vEZelGEdYN4IN2K+4F2aeMGYsOHuaHnB\nB+UsFsJE1I8Z5wm3p/64GfOFZOTra2hjhE0Lsc/hJeAXEVrpsWM0AGCQFeHUdvXbDtw+RXyXzlw5\nSKAdne12uox2E0wKU5H+WawSMBiSxbKrqSoiv0Bw4jhkwl5cPT4bAJCemY/xI6omokYS/po0tfzh\ndHTD6wAiG11+Dn3FucbtbOD9oGbL1Fb2ip5Nv1MnEZFGnfQHAJ5MnoLuR49wQtqEpWW13eVDuQ3K\npqF+HdweO05oulsAuBMVidk3RWciZLcT1Y9n4D1cCP8ksh9+giZPhSmFkZbGw59O6trTH95j5cMH\nFe4HII9RRV4e4W6SHYNVFk7qZDnWu1JMrA+vuoALXrdIba28vCRatdcinP713XHrJ7Ez8PzuR7R3\naoa+psT/T8CvXQi+FYZO/e0o2/IbYtpn6DSpSP9ZaYOhrS9cJVAYfseDMGMC1zm5tKwcPYbsJNWR\nVhP/D//tNLUV4UrifgDAvVNPsXOG8KQyQ9ycMHOroIf9f5nbYwmlvrtRkVj7+DFS8vNgZ2iEQ4MG\nQ1uZ0CigE7f+bR4RTuIf8QW+L18gJisLxhqaWNWtG3pYcM/xRRmvPtY2+O6+AO+TkvBP4D3EZmdB\nQ0kJ41vYYWbrNmDyHC2I6meLY29scewtdsx0kCTfvCSMad4CY5q3wKeUFCy7fw9f0tKgLC+PNiYm\nmNbKHu3r0Xe0WtKpM7YFE+eGNcXIA2TDzm/0a6kZsI08ALR3agaAu8IHINTI02HqmP34GUPeAQsM\nWSF1f/ykJTaEvhGx68iviictvEYeAOSZchU17FXCX2PogwfMJYXXvRos+Wq299jOFY6pB4Dn32Mx\n6cRlgfs9G1rBdyShjHX65Xusv/2QVP55tTspXK7hGkIU5MtqDzRayxUIaVBXH/6zuFK44QnJcDnA\nlcz9slrwd2exgNZbfJFfzN1a4l/xs3cB2M8FAG1VZYQuEe/052RtQ9pSloS+5h6Y9I8zhs/qiUEN\nG1XYEayFoSHujBsvcJ/3Of8vNDUwkChXPBW8Tni11FJT+BmThnvBK1BZEcT6htxQUqa8BXQNgjnX\nGSkdKuehNZS/xtAbqWpWSPteVhwPfYvNd56QjCjVNnoTIwPSPbdz19F4rQ/ldnvjdcK34bfeDcLR\n52/w0nM2NJWVOM/jp9Fab7SzqIdjEwgxk8AvUZTj4r/XcI03zr3+gJGt6Tkd1vL3kfjHP8JCR6ea\nR1J1RKWnw1qPRhraWqqVSpUJYXB9UdQ0yM6N8vKN+Wv/X/PXGHqqbHXVYfh3BAaLrwTArp4R6XrP\nyIGUBhqgXqGzOfqccFRjG3kACJw/GY7/HuFc7w8iogXYRh4AHBtRx/6fn0qWgWxiXBfbA59WuqGv\nXtmf/y7jr3B3nh5MoCcyxY+wbXWqM/WRVvOQmZxNumfRtB72h26Q6tlsSktK0V9XMF3t4gPTEbWu\nBay8yL4STseFn/fXnt/XDDbtHAXHjhswx8MJ8vLEsRuvF74sUVIhR65o6koWBgkQYjiA6DP4LgO3\nY+sqF7RvLVw6uTr4aww9UD2GnZ+Ghvr4GE8vhOtzYgp23g9GbEYWknPzxDcQgrIC+W2qp0MWbbgS\nRqj4CZtI8NLClDwB0VRWIm33VxaKygq4fPAxLu57gFZdGmCJj+B29J1zoTi4wR8MOQY8to1Exz7c\nyUdfcw8ExHijtLQMU7ttgrwCE/M2D0fzdsLFjMrLytHfaiHGuDthrHufSvm9ajIPf3xHcOxPAMCy\nzl2l6mOUNaFcZtPSHAv3TYV5E1Nc9LmNY2sFj65cTGYhL7sAjRys4fNgJYoLS7Cw90ZEvotBUX4x\nlNWkT3fMNvL9JnfD/F3EhMVZbwq2Tz8ArJPMi7wivHocAW/PC8hMEy4ktWr/RLTv1URkP7yOZGwn\nsl/fUzGtNzmWnN/BbFDTZaTwsj7DHTB/k2SJkV4/icDKKYcpy1ymdMXUpdKFc0rKsoVEym9f77uc\ne5Vl6KsKBQUm7j0KrzX00tLd2FpgVV8dhv/itNFouMYbjdf6YJh9M1x881Fg+6m0rBxN1/8LbVVl\nPFs8k3MuT8cQU6GhLPoLMiO/APrqarg2s+Y6Eh7aeB1bz83BubfrManzBo7h5uXTq++4/GkzykrL\n4Wy9EG4bXNF/LFeP3aXpUgDA5U+bcetUCP4Z6QuvK/PRqJU55TP7Wy3EiNm9/jNGXlQEwFR7yb9A\nPQdsQ0ZSFhbum4re47i+LcM9+mO4R3+B+nnZBVDVUIHPn4gVJRVF7Hm6FoPrzsCgutOl8qoHiAkb\nAOjU1eIYeQC4mX4YTuoTYL3qvdR906WwoBhDm9NzFFs38xjnNR1P8DdPv8KqsYmAkQeICQG7D6pw\nsjsXXiDmWxK8L4nPmbF53ikE3X4vss7lw09w+fATKKko4NrHylV0k6XjnThSE0ygquEOOTmuxK6K\n2jgRLaTDxsIAoW+qNoERHf4aQ/8oIUpqwz6x6SIk/kiR+tl380+QrhsZ1oFrq2YY07YF1joLOn51\n2ukHACQntzIa+byFkZpLljDNyCerVU1sb489j59DX11N6mdUNroGmmjcmkgOdPTpCvQ194DfuquY\nsYqbwGTRTiJOlykvh6nLB2H/2qskQ19aWgb/COLLsP/YjoiNSsaqSQdx8T13AqitrwEAlBOJ/yJM\nOTlEzpMugca7R4TQEa+RF4bXbGKFeCbSR6DsdKQPhhrPxB6PE3DzFnSiFMfmSfsAAMc/7hAoM7Gq\ni/joyhVJ2upxBo9vvKMsYzLlUPY/9s46LIqvi+PfXbq7FAUETLAVExMFu7u762cHiN3Y3d2Fiord\niSKKKCCKSgrSufH+MW7Mzuzu7LJLvPp5Hh5375y5MyDsmXvuOd/DpS8b7TiQWT11wNwzSPmz3cFi\nsSjqa4cDbggfduhsIt5+k3uNXnUWITuTuVJefm4h6SFDHXyPTcHMSUeQmiKKdqrT+RsYqT87PiIy\nAVZ/PoNKE2XG0S+t74N17+6inIEobD3Aua6MMwjE5WxVxceEZAxsKD1cqMmmyrUO2H9KqWvpaWsh\nt4CsBDXq6HnS+0ktG2Hrvac4E/Ieveu6KXUdddPUh5oD8CjoHcnRJ8SmYNO804iLSUZyfBrlA699\nHw/SewsbE2Slk/URLG1N0K3aHHQfqVyouiwzom49XPv8CcnZ2ahmZYW9XbvD2qB4Hv4ETaDo2kIb\nGOsBIDpJKkP4c0IISUefKnBSo3FliqOvvW0b3k6cSDuXMjX2kk6+QcuqWLKXmi+Ql1uAA2uu4fIR\nQkRmkj9VVIcOgZMXOFUOh4vOVUXJYye2EaJfmloaCPxIqO4tGXcQT29J7w0hzsTOARQnf+DePNja\nm5PG+Hw+OriSW8e+ex6Nmh7OjK6jKCP674BHExe8eBqFQcM9cfbEM7Vcp7jg84lS4w5t3Uv6ViiU\nGUfPxKlLog4nDwCd3KtSwvBXJw6FsxXxh/Pgv9Go7r8RVRcHQIPNBpfHw8QWjRD6I17ha72ZPwm1\nl28hXW9a6yYIjydHKCa1bIRFl4Ox6HIwabw4RHWY1JLr0ezP5maJPnw6u86ElrYmzn8gPshO77iN\nA6uvkOwt7eRrwC8YvBPe/Rvjwr77GLOom1z7/ycWerbAQs+SecDJTpeviZ6VplzL4+x06WJXplby\nlQZVydVPq8HWoG8RoqunjfF+3TDeT/Hfu81iXdw0Nen7OgicPEDkAYiH8i8deoSuQ6nqe1wuD18+\nihT0hs/sgD7jWtHOz2KxEBS1Fh2rzBFGEOYM3KnWVf2ytf0wqNdWDBnpqdZ+9AC1lt6qnGz1TAB4\n8jIac5eSF1aCpDxpDO9f+kr3yoyjB4Dh90/geXIsPKwdcMCzn0zbzVMOkN5XbeCMTff8inwPVRcH\nYEILD5ID/Z2Ti8ZrdgrH2CwWrYOd3IocymPqhN8uoGqTj/Mkr24ntWyMSS1lhwrprndgiPyeAaog\n6MRTDJ7hQxpr31fUUIJTyEVgpCg0+5zhakUSQR29sal+qQrfZ8c7AAAM7KSHWQU2AmTZKmOvTlr3\nbYzLu24hOyNXuIIXIHDwnj096E6VS93Wbnh8+RUK8znQ0iF/ZIU+/CjlLPUgzckXFVc3e9L7CYu7\nY/viC4zPvxf4ltbRd6pC7rcuzcmLc/XTatJDxN1LIWjVVfGFFlNmzOmIVf4X8TbkG05emir/BCVg\n4tTpaNLAWZhlzyTrvrRSZrrXuZ9bi9T8XIyq0ggpedlwPyf7qerqvrvC12e+b1eJkxcwpRX5ic1M\nX0+K5T8E/E4WZSn/ik8DAIya34VkU1ggah8ZXsSEluFziMzhLpXV80fJzZctT0uBJV9f3sDum/CL\nCYrYqpuBcwmt893zTlCO7foz1u8/5bK5O40inNOx1Zcoxz69kt5GVpI9r14pdX1xeFL241VNtToO\n8o3ESPyZKtem/0SqXrw0ajcRiWNt9WP+wKEIgv34ug2c8PJ5NMwtDNVyHVXRqJ5TSd+C0pSZFX0O\npwCX2o0AAMxwb0FbV0+HmY0JjM1V+wsU+iOeVKbWefthGdb/AICgrwHwcRRFFAKj1oHFFpUrrD09\nieSUJe2VvWYHpxlYOGQXlh0eW6S5JMlLHaGQkzWwjVLp9YuD6xkH4W08DO0Nh8rNaheE0K8fuo9p\nW4YL/2/5PD5uHnmIRh3qwLqCcgI2dVsTeScn1lzGMF9RBEq8Xn/pvXs4GBIifC9ZVy8gbHLROvd1\nrDIHPUe1wKi56i1Bq+hsTXrvVNVOiiVBeip1W0Qyx2XI9PaMrz95aQ+MbLMaAJCTVfR2t/I4d+0/\ntV+jqIwZ4lkqM+qZUGYcvZmOvsz30vA7odpQ0Jx2nui79yRpzMJAv1j2wgGg27kaL14AACAASURB\nVLYj+JRI6EN/XFI81ywqgvC5rDC6W0NnynHx93Tn9hnfhiR3S2dzLUbxpjPyyE9TLou9rMFis3Aj\n6xDaGw6lFc2RdP43sg5hfONF8DYeRhq3cbCE/2nyz2zn7GO4sP0maUz8GkvOTIeHj0hHPfDXXnS2\nHEW5j2tp+9HBdAQWtWyJRS1bApCdjKcMQ6a3x2GxWu9ze+/j3N77aNW1Lmav76+y64ijrUuOAFWQ\ncPyS0EUajm0JprFkRjkHS6XPZcqHd98xbbzod8jK2hjHL5SeXgySuDhZl8mwPVCGHP3v/BzKKl7w\nXlbZnbmt/AQuRTh+4TUi1pacg/2U+IvWwVfzDSiy458QQojYbK97tEjzlCn4hchOoBfd0dBpCV1z\n0QeR5J44kz3y4txHv/PyM1o3qEx7jMfj497rSKnHBWTm5MNIn5w4qUiN+o6nSxnZjVszEOPWMNd9\n0NbVknof6q6h7z+xLfqOa42OEvvddy+F4O4lIorQa3RLjJxD1RZQFQZGim8PPrhKrplXZdtYVTBt\n/CFSOd2zx5HFdu2agb5413lJsV2vpCkzjl7ZGvqIl9GwUeHTafDaMSqbS1Eky+z+UXQETl7b2A9a\nBsTWEI/zGXkpfaBrfpBkKzhemL2f9F4Welb3wSt8hfy0kg1Nstks+UYABi04jEsBo9V8N8qRG+8E\nPTv5oVNVruYFsDXYuPZ5DTpUnk17/Oyeezi75x7894xAw1ZFa9pEhzKa8CmJGSq/D3VSt0HZ3QMv\n7ZSZZDwA6HfnMCqfJtSawlJll6oJ9vVWDN2m9vtSlGq+ATgX8h7B4VEYsv8M5dizL7HY/eAF3BaL\nxEd+ZWUju6BA+PpXVjbpGN34P5ihbTSb5LTZmpWhb/MWkgr92sZ+0Db2o7yXHBeHrekITT3FJEqV\n5XkYES1oM24bJq46CwC49fwzxe7y/ffwGLIBzUdsotglpEiXdlUV3FzF+4CXBlhsovwsKGotmnnT\n10r7jd5falbOHA6X9F5LW1PpL3WweuNAdPVag8ALr+E75zQ6t1mNKxdfC7+KwrnY11j2LhAAcOWH\nKLLR4Cp1FX8j7r3w9eJQ6b+bi1Zdoi2ta9V9PTy7rIVnl7W4pqRWhLopMyt651PLEd13gdDRdwve\nL3OVvzJwtrCOPurtV7jUdlTJfdQdG4CQXUSInMvjocH4TXi6dTI6zd+HSuUssGt6L/D5QL1xAbi+\nejQmbb6A7LwCXF1BFthoVcUZ5gZ68KouChuPOXIBbxZNhq6WJhpVqojNd54Ij4mr3kkq4Anel2Zl\nvNJMQeYacHIvQM/qVknfSpHwcCe2CbJy8pH/J/rT1oMaqjfU14aejhZy8wspdkxX/krDLwSfr96H\n0ZnXr2OdN73scbM9e4Td/Fo4OWF/9+60dvJYsJX4bMnNzseM3lvx9XMC6biPyyysPz0R1aXIMxcH\nDi42iHz/Q/j+cvjKErsXOuo2cMKlYCJC0rm7ajXue1ashxXpCdgQfhMzqrfD3YQItLKtinweh2Lr\nZVcDGYW5MNbSw+JahAZC8+sr8dB7Hsnu/hPqQ/O8ZRfA5fIwqFcjREQlYNXm66VSMKdMregVxbNH\nQwDAxKa+OLzsvBxrxZm18wqqOdhAR0sTwWvH4mXEdwDAgn3X4GRnDmtTQ5z2HYz4FHII7cnccWi6\neiearNqJxAyR/OPzmO+kBjbu5W1RUsTlfsfsdxOwJHw2nqY8UMs1LsWdxpQ3w7D202K8+v1Uqt3V\n+POY8mY4VkYsxNu0lzLn3PNlM+a8m4D/Qsfg4NcdiMqKkGlvYBcNAOBxIpEd74DC7AMy7csKe337\no/nIzRix+DgAwGPIBszbcoXWbtSSE0K7LbN7wnPUZpJNbjwRUi1Mn4+CtMmksdx4J+EXnyMqdePm\n3xeO5yW3AwDkJTVGXrInOJlriNdJIt2H/F89hPa8wnDRtRPciDkSGzL+3oM+f4bzhg3CL3HiMzPR\no3p1tHV2xv2YomdQ6xnoYMe1/7D5AjXp978+JRtNrF7PsUSvX9JMrNoah6IJlcLDX55g1uvTAIC9\nkcTnWde7xO85m8VCz3vE/5VX8Dp4396Ay62ZJQU+fhEFXV0tjBnSHBuW9AYAXAx6q9LvQxWUmRW9\nMiw4MgltB7yFb68NOLbyIo6tJMIy5V1sUbd1DegZMktwGbm0D+34k/BvGNqO+iR6500UOFwe6o8n\nQu+SqyQzfT1h4lz95dvwagGxp9jMxRE5BYXQ1yYybsN+klcJxYUgKa+8XkX8zI3FkW+7ceTbbkqS\n3oSQQWhn0xndyvcljV/8eQo3EwNp7QFgmdtGLHxPZGFrsDQQkx2FmJgo1DdrTLL9r/IirP9MJHc5\nGjjja3Y0dn/ZBBZY2Fb3CGnu/THbhA8L5fUqIo+bixepj/Ei9TEmucxGdWNpbXg1hQlyOYn1UJCx\nGAUZiwGWDgxsqU/wpRlBot3zw4RS4cN9og8rwZjATjwpb6+vKHO8fvWKeLCX/kOOk/OnRt50i3BM\nfM88N94FenZEGSEna5vwmOChQNf66Z95jkFTn5yIx+dnkuwFr9maTtCxDCTNI488Dgefpk2DJpuN\nJ7GxFNnbtX9W+7OuX8eqBw8w19OT0byycHW3R1DUWoxpvxbfo5Xvq6FKRs3thEuHRG21+Xw+WGpt\nAF+6MNHSQ2hnfwDAgSbE1tzaesRn+ShX8v95sNdM0r/ScK1ErX64KVZRYmttjIMnn6CbWMVIaaDM\nOProvgsw7elFaLDYmPzkvNzkPFnytz+jEvAzirkTleboV4/ugOnbL2N8lyZ4GyVSXlozthOmbbuE\nkJ30WfCt1+/F8m7t8D4ukdQidtuALqjmG4ADw3oi7Geiwo1wum47gnk+LdCoUkWFzpPEv8Z6WOnY\nkMYmhAzC+Z/H0aP8gCLNDQAL309jlNm//vNSit2btBfY82UzxfbV76doY+2DnvbKd/DTtyH2Bfnc\neOQkNUJ++nzomKi3g1dZQNNwIsDPAVvLHeAXgJtzBpqGhC5BbrwTwNKBho4nANGesIZeV4Wuwed8\nQW68YBtLJAHL1qE2jZJHMwcHaLKJYGWTitL/Fla1b4+GO3aoxNEL2H1jVqnZo9fUIkvp9m2wGKdf\n+ZfQ3fx/kCgm/NVlMDVio6+ng99pv4vzlhhRZhw9AGxsXLq0y1vUckbVCtaoO5ao376xmshW9qxZ\nCU1qOArHAQj39QHAx60yxh+7hArmJjg2irwavj9rNNpvPIDypsYKlcu9XjgJg/adxrRTV/Fs3nj5\nJ8hA0skLuJV4TSWOfoiD8pULdUylh3B/5MYqPa84LA1CnISTe1aKo2cDKB6FtNKApn4/cHJO/nH4\nueDmBUHLiNi/1NDrBm1T4vec6Yqb7mfH1q4LHYszVMv8e4CRYroFkSkplDE+gMz8fNKYBouFzIIC\niu3/K5lp0nsG/IMZGZlETwcej4+09BzUdqtAOv7tRwqsSqHCX5ly9EzgQzJXWrVoSmhdH19Iv4Lc\nOkV6ks+s9p6Y1Z5+FWFtZIg3i6Srd0lz/vraWjg/Xn396C11rPErXzUhyUYWzFZQ9cwayTf6QxOL\nFniSch8TQgbBy6YjupdnJmTCzb8DDZ3WtMe0DMbRj+sPRGHOEcL56cvuufD/AEvDHoUZS4Xh9IK0\n6dA2I1oxc3MvIi//LsBiXuddmO6LwnRfAKLQP4tlQHpQEIzzOJ+RG+8ElgbzfJXErCzU2bYNTSpW\nxPXISBhqa8OFRikv4MkTtHeh11AQEPXhJ1xqlJdpI86Z3fcY2xYH1yLXkDrSKdp6ls/jkxQs/2ZW\nLeqBuUvPkzLvN68g//1zuTz07KS+vgDKUmYcfZPLm/Gki2jvUJCFLwkLQJWlAfj0p4d8ZFIKtDTY\ncLQwE9ocfvEGLBYLgxsw30cRrM4fb56k5HdQtrHTLa8yR88UC20rxraDHEZjoMMoTAwZjODEqwhO\nvAoAWFJjAyx1pKuK5aUOl3JEE9pG9F35tE2WoTDnCPLT5yA/XSSiIimGIymWIzmma74fGn9C0wUZ\n/sL6fHm2TOZWtTCP+F68tNfiaOoPhMvpZYjqs5BiQ3eOtoRmgdDWNpx2XBbRM2Zg6LlzuP3lC6Y3\naYJJjUQPjHGZmaQEPXktayd3FZW4jvfrhi6Dm9La5ecWopv7fIXvVd2wWCy07FyH1GrXx2UWDIz1\ncPK5HyW8z+fzcX7fAxzbEozcbCICos7udWUJQYOb7kO3w726PZbM6UJr17dbg2K+M/mUGUevLLYm\nhlgV/ADLO3nhfOgH9KhVA0Ma1oH39oMKOXrx0PvfSCaHufhGLrdkavlZYGF73aPg8bmY8nYEeHwu\nfD/MkJkPYGD3Bflps8AteAY+Nx5srerQ1O8HLf3BMq9lYPcNhVkbUZi1G2CbQkObSMqsfG4p/Ot0\nQP9K9RRytrJq8aVdv6zR8upW3OtYPA/Kh3rSd2UsZ2SErtWq4cqnT9jdVbE8gh3+F7HDX1Rnramp\nQalVF+dUKdkPnxMwACmJ6Qh7IaqKyM7IRedqc2WcxYys9FzsWHIRXz8nICnuN7JktCsWz13Q1NSA\nQ2VbWNmZwrGyLYb+R18OmZWei8MB1xHzKQFfP8cznh8AbCtYwLGyLazLmSrVOlgaFw5NkHqstErk\nlnpH/ysvG12D9yMxN5MkgXveS9pKDPi0SOSUjXR0sLyTFwCgR60awvGgCcNUf7OlhNkXriPow2eM\nblqf0mlPWb5mR9OO5/OoDS9eyiiVKw7YLA1srXMI+bw8TH87Cn4f/oN/jfVSrDWgY6qcHr6W4TQE\npbZBl4qlr262tFHI4+JHdlpJ3wYAYIOPDzb4+Mg3lIMsJ1/aVsFrjo/HxzffMKP3VpXOm5GWjTuX\nQuQbSsDhcBEd/hPR4T/x7PYHqY4+Iy0bgUef0B6TR8L3FCR8J/I1VOnoyyKlvo7eUtcAjztPho2e\nEaL7LhB+1TIvV6R5S3rXqWlvaY6naOx9/AqX331EIZeL7Q+eIzEzS/5JEnzJptecbm/bmTJ2P5na\nOCOPK/2puzjRYesCAHQ11NNGuJDHRTbn70nmEmfMq6GkLwHNr2zGnbhIPEwgPxhqsTUkp0ABj4tN\n7+8L37ucXoZcLiHg435uNV4kf8OduEg0DdxEsknMzcTL5Fi0uLKFMqeAcZcvo+bWraR6erq6enkI\nlPCGzSQeDGqciwVLk49qRwkhmqqHfgg/TDoPa4R219hod030vc4M7Yu3aU+wIGwYAMD3/UjwwUeN\nc7EwaZYjnMf3vUhQ61Xqfcx5NwAum2WrfypKtToOCIpai2uRa2Brby7Vjq3BRr/xbYTfe2ngZydr\nJDcVbb/+7GiNhDaWUj/Isxz18L27LeJ8rJBdUf7f/9Y7T+G5Zjear96N4HDZnSafRsei7fp9qLd0\nKzbfVu4hpLgp9St6AeL78/+Qzp1P5A/Yu5++oF99aTXk9Kz75I/2tl3QtVwfJOTFYUk4kczTtRy5\nQsBKxwbJ+Yl4lvJAmGA39e0I6LB1aVf66mRCyCAMchiNJhYtAACFvEJMfUtEfcZVEkV4Kp9bis89\nF6HyuaXoYF8DGz16YPTjE9jTtD/63N2Pt6lEmeSlNqNRzdRWeI6AG+0mwMnIAs2vEXu3uZxCbI94\nCAB42GHan2tzhee4GFvhmheR1Cdt/oTcDLS4tgl8AJ62LtjbtOgd0Ya1WgVXd3s8uh6GoM+rMbDp\nMljamkDPQAddBjdBEy83+FSeA1t7c9Rp6orszDzM2zgAo9qtBZfDA4fDxZEHxJ7zie230X8CkR9w\n8dAjdBvaTOp143My0Lqcq9Tj4mizNbAl/CGmurUQjulpEBoSbcpXRkMrIudgzCNRSZOzsSVs9Ixg\no2eEnznpoMNlwwYoVpgqn77jWqPvuNaYGdoXtc4kooZxIxheCoORph1cgwwwwWUxZob2xTCbmeCB\nh53RSzHOeREAgAU2qhnXge+HUTDSMsGOKCKkP2/jYISlP/8zj4nwWi9/38NK96O4aX0Gv24nYJAD\nfQdOZZ0wi8XCgXvz5BsyoJyDpdoeBqotCoC5gR66bu2MA49fo9BIEze2T8PEY5fx9Xs8Co2Br/3K\n4ePS6ZTzBHB12UhuaoZu247g4sTBFDs9bS2Y6ukiPl30OzblRCBYLCCcJvF5wJ5TeBMbJ3y/495z\n7Lj3nHQP516/x8KLwdg3rAeaOFNzaR5FfcPoQ+extJsXetVzU/wHowRlxtGrmzXhxBP77OpBSp3v\nNWQL9q0aiJTf2Zi0+DQen/kPd599RqtGlZGbR6xS9HS1cP1BOKq7EB/wz97EIC0zF+v33kbw4cnw\nGrIFM0a0hk9LYovh0PnncLQ3R4uGrvj0JRERXxLRta1sp922qgtCvot+ETu6V1Ho++hWvi+aWbbG\nzNCxuJFwWTguKVADEPX2i95Px+Fvu3H4224AQEPzphjmOF4ojlNcmGqZ4ei3PTj6bY9wjM1iw7f6\nGphpU/ugz6vphZXvgrHRowcW1+kAAMgszMfnnsSHs+CBAIDwXwCodn4ZPvZYKHTqJ768Rv9KZNGk\n6z8/kuYBgBkvLkidf9yTU/gkdg1VcODOHLBYLAz/01P8mFiXMJ/KcxD0ebXQDgA6VJmLeRsH4Pev\nLJwLIRzRkBYrcfj+PBzeeBP9J7TBruWBGLuAGtUpCpVNrLAq9BbsDUzxsZfI+dS1sKe1j8lMQZUz\nxBaehhTxFz7kJ9kVBR/bfvC06ohHv4KgwdLEuR97AQBNLNrBzYRIxDr8VRQ5qGXaCLVMG1HsJccF\njHcmcjW8bftiZmhfbP6YiBfeqtdzuJ3wHm1si8fRKEtqdi50tTTxcel0VFsUgGardqG5qyM+Lp2O\nGr4bweOTH+kETj58yXRhIyAen48avhux8MJNLOvejmSfW1AILo9HctSea3YjOTMbdyO+oFXVSpS5\n3/tPhQabTRp389uI9/7EZ0LPem5YeDEYIw+epzyEAMDoQ4RKa3E5eaAMOXpBlr3zqeUY4toAhyNf\nKt3Rjg5lHbwAvykdULGcOcYtFPWqz8klwrp6Yr2lA/bdwY1DREKS/+ZrCDowEQZ62sI5mtV3FtoO\n7eEhfK2nq4XNB+/JdfQjmtRDRGIygj58xvIuXjDS0ZFpL4540hrTVrVL3eh7zNOdr0j7W1m2dMdW\nuEsP44ozrmoz5HAKMNy1Ec59C8W5r2/R05FIyozJSkG188sAkJ1I5XNLUcXEBhUMTMHly18rdq5A\n/QO++fMjOHwe7fx9nVRfjiNQQBP8K+7c6eD/+b7E950Ft3j0EfF3dvHQI5U7+mvtx8LlNPEzGeRS\nXzi++t1tDHGlZi/z+HxE9VlIGS9OtNjE36u4cwYAvhxtBUl7aeOz3/XHmponSGNHYx7i4o+XONt8\nBslB93+0CevrDUFYWiza29VCUNxbrA2/jDttfREQcRVtbd3hbloRDa/Px6lm07D183WsrzsEN+JD\nsSb8MtrYumFR6Cn0d2yK7zkpaG9XS6GfRXEwpQ05z2j3EKJ0uW+DmjjxQtSwJjaVyAGRdK5sFgu9\n6rnh7Ov3mNq2KayMyD1BQv3I0eIHs8eg2qIALL58W+jo03KICOXQJnVJTh4Ark8bDu+NB3Dy5Tv0\na0B8Poctngr3xZsgjTe+0kuo1UGp36OXhM1iwa9uO/mGxYz/5muIjUuF/7SOaFK3EkI//sC2IyKN\n+LhEIsw4bXgrfI8nlJOWzuiMoPvhWLIlSDhH0H36cqKCQi5qVWNWz7umuzfCFk5Bl5qqb5dZ1unr\nVAenvxKlRqMrN8HteJHMbW1ze3zssVD4JaBLRXcEth2D7Y2pComSKwpptClXRer8xYlk1rJkQllB\nXiE4HC7ycgsweUkPAICFtTEC5p/FBAYJTcdaDobL6WVC5y2OjoYm7TFPW2fY6BmRxqa5tRDanmo9\nlGQrGKe7RknyNEU1TZE8LYm+9hy+qC31IKfmGO9K/dxb5N4Ta8MvCx20T7na8K9J/J6aaxti+utD\nQlsnQ2s8TCJ6P7S3q4WpVYhI1s/cVHzKiCuVTl4WBjrapPe777+Qajvbm9ha3HHvOeP5k8Tym3Y9\nIOb+rx1128rBwhQAcPy5SONeoLey79Erku3ND0T+k3hPk+KgzKzoAaJN7fOuw3Dq23wABsJwOwAY\na1ljnKvol3pNuA9mVw9CAS8Xe6NGoZCXjyZWA9DAogdpTvE5APqVvWCuhNxInI1dBA22FgY4roWJ\nlkjEI/gw8YRWsZw5GtQk9mWu7ReVYZSzIfbgBGH5x2dE/cl9WlQnzUGHi4MVNiygLxn6B3PK65ti\nRehNDHPxQNeK7pj1UlQuZaipTdqPF4TWL8eGIehHOCx0qN0B/d8Gwf9tEMmejk0ePTHq0XHa+dXJ\n/ltEfoVgNW9ookda2WtqapCOl3OwgKamBjQ1NVDfU7Ttc/PsS0xfIb/droe1g9QV94ee9OVcPD4f\njzuT96ENNLVp59nvySx/ISolBS4W1C0bdbKq5lEEfJ4DgIV1tU4pPU9C3nes+DgJU13pu83tjLyJ\n3wVZ6FWxEa7+DMHs6l0w5vlu7PYYgys/Q7Dh4xXcaeuLmOwkjHFpSztHcPw77Ii8iS729TDUqQVM\ntQ2Ec5RVbspIojPSJSKbV8M+wbczvUCWLC69IRZgNRdT5bcFRCaSFRnLmRpj3Y2HGNlMFKmaevIK\nTPR0Fb5+UWHxGa5IihnamzoX64forBfobD8X1YxbYFfkcKQXJmB29WuQTL9cE+6DgY7rcezrf6hv\n0R353GyEpd2kdeRcfiHWfyTED6Q5egeDOsgsTEZz6yGIzX6HN7+voIZJa3QsXzrrJv/xD3nQhfNH\ntF0jfDgQMGfwLqw4OBoaYqqQ4pn2ALC7/iEoimBF7mxkgRs+ZNnm49GvMcBZudal8jLr1bl//7dS\n1Y+6hRfhXzTtEcGeuCAUL/l+/c1H2PvwpfB9+4ADiE1No90XF5xf0dwUN6YPp51P1rXbbdiP77/T\npc4t63twtDRD0NRhWHgxGOdev5c3h1oKwsrUij466wW8y01FNWMiS3es6wGsCffBlZ9r0an8bIr9\nsa//kRy3Tzn6H7AGS4t2XJxv2W+Ec1Uxbo6MwiR8SL/zz9H/o8xCt2cv6eQBYPWRsWq5vqy9dmWd\n/D/+Xpq7OuLYc/oWsRm5xB57E2flGn41cq6I76/CkM/hQEdTMbf59RexVXvu9Xulrq0KypSjB4Ca\npmRhBV0NQ3zKeETr6LvYq6aEBAD6OpDDaD0r+mNNuA8u/liObvbkpMCq/sTTYCVLc1ybKFr5XAwN\nx4LLweDyqEk7o5s2wH9tpZct0SG4jiwi/FSn6Mfl87Eu+CEOPH0t1aahoz12DegGPS35D0+SzDwf\nhCth9P3jz48ZiOp20qVs//EPAepYsVf1CyjyCvX/GfGfDd3qvjhY2KkVjj1/i+TMbErCXct1RKWD\nXxfFuyECwJKubXHmVRjqL9uGsMX05Y509KxbA+dCPgjfF7WzqLKUOUd/JGYaBjsRNcw8Pgd53Cyp\nDr2qseraTzoY0MvlRmdKT+748itVdC9ynPKexy+x5/FL1KtYHseG07fFLUmYPFQAwIuvP1BnBaG+\nxfQhg8ncPXYfAwCs7u6Nrv+SDP9RjCy9drekb+EfDHG0NIPnmt1wL2+D0+MGIJ/DwZB9Z5BbUIjH\nc+mbVDGluasjHkZ+RXXfAARNHQ4HC1MkZWZh8+2nUkPyy7q3w7mQDxh75AIA4MDwksmzKlOOfqTz\nbuyLHoM14T4op1cVcbnE6k+VDl0aedws6GpQ2w/SjUnC1EkCwOvYn+DweMJ+2iVNfHomWm3cq/B5\nPjUqM7JrsGq7QvPOuXAdndyqUEpcyhpPfj3EnaRgxOX+hKGWESoZOKNvhYEw05auWKYqnqU8xqvU\nF4jKioQGiw1zbQu0tG6Dppbq/zsqLuga12x88gTaGhqY4OEh7TRapIWD/1H6CJo6DNUWBSDsZyJJ\nOKe8qTHMDYqmkLl7SHdhXoD3xgOMzxvUqDaOPnuLZi5U8Zziokwl4wmS5oY774CVjqPMCQSZ8kyR\nJZizJtwH9S26o7XNGMp4S5tRaGhBfkqT5thHNKmH2V7UD9MGq7ZTemUXJeQufv2izJNdUIB6K7dR\nxvvXrwW/jtTM1W33n2HLvaeMr9t911F8TEgWvtfR1EToAmrlwa2IaEw6dZk0psj3JZ44JitpLKMw\nHTNDyTW1oyqNR0Nz6e1ymc4NAIFxFxAYd1GmDdO5FL2fXG4upr5htqJhcm1lk/Ekz+tdoT+8bOh1\nzpXFecMGDKhZE4vbtEHlgABSKN95wwaFQ/uCUHRRQ/dX3kVgxfV7yMjLR9NKDtjQuwOlRExAXFoG\njr8MxcW3H5GVn49KluaY590CDRzphYRUSfDHKBx+GoKQ73GoWd4Oewd3l3qfdCjz81rynkiG1tUw\nRB5XVNbGYrGxqAb5b+bN75sI/EnW7B/kuBSVDMnlgUved6HMBwC+buTPkuKg2qIApol8/5Lxtn7u\nD222HjRZzH/pVMWrlAtoYT1CKG4heDCQdPLSkOWYXs6dAI81O5CeK5KN9dl6EEGThil/wypA0snv\nGtANLVydpFgDE1s0wsQWzHrId9h2iLS1MaNNM4xpRt/esW1VZ0T4TSc9wNRevgVvaR4K5HE1/jI6\n2tG3l9weTS2dORCzW6qj/5ARxuia+bw8TA5RLKFtzKuhGOE0Fo0sit6U6FbiDZz+fpyRra2uXZGv\nR8fjXw9x6Cs5MjTEcQSaWbaQckbRWNqWvqyMKXT7zIpklgtsX8+fiAeRXzH9zFXS8fuRMai3Yhvl\n/IdRXzH6T5hXnPD4JAw+cAYAsLV/F7St6kw67r5kMwq5XBjoaOP1/Ilyv6+nc8bBTJ+8wk3JykHT\ntbtIY2++x6HeCuJz4OW8CcIyNXVR26wt2tmOEL5f8r4LLv4IQDd74ud034DVMAAAIABJREFU4ccG\nhKXdw6IaF8FiEVE9Hp+LZR+6o5FFV7SzG6nQfMWBeGShpChTjn686xFsjOiBPVHk/0wNlhb+q6b4\nU9rxrzORUZiMjEJRn/W14R1goVMRLkYe8LQWdcgb6bwb6z+SVcFmVgtkdJ2K5qZybR7PHAu3pSIl\npZiU34zmVhe5hYWk9yxAppNXFHEnb21kKNXJi2NvaoIfaYTwUB6HgzwOB7oKZsA+T3ki1dF/yaLW\n4XL50juUPf31mNE1ZTl5Kx0rpBSkgkdznf0xu5DPy0MLK8XrfsVh6uQBYJDDsCJdSxqSTp7NYqvN\nyauCXnVF6oZnQ95TxpgS8j1O6OQHN6qDvvXdkZ1fAN/Lt6BLk7Da3MURACG4MrV1E4z+83dxOyIa\nE08Qn3GTTlymPCBsH9AFo49cQHY+syZLkk4+r5AjdPLlTI2xoVcH1K5gh7Cfiei9m/j9abByu9oT\nEsWdsoDITJHoTFjaPQAQOnmA6FYJAM9SLlEcvbz51M2SwDsAgKOjSjbvqsw4+gJeLjZG9JBaM3/x\nxzJ0sxeV6zAJ2w9wXMf4+hY6FZSWyb05WXpLXQGabDY02WxwaDLySwJBQp2AjyrM3k/JziG9fzBj\nNKPzbk0dQVrVN1u3C6/mSl+9CLDQsURK/i8AQEKe6jqCvUgVteO10LaktRn7ahhlTFaYe+67GUgt\nEAlvHPt2CI0tmkGbrVwUSzxU3q/iILS29pJqu+rjElQ2qqrUdZjeAwBMdJmGWqZ1VH4deRwNDZVv\n9IdlXUU/J4GjFx9jyugjFzCtTROM8yTnBVyaMFjKGfRRgjZVnRHhP11qRntzF0ewWICsndhuO6TL\nStdeRkhIb+rbCe2ri5oSuZe3QYT/dMy7eBMX3nzA5jtPMKW1alpfMyWXmynfqATnk0RyBW9rbIh6\nDsxUTdVFmXH02z73h5WuE+i2MEy1bfEzh146tqSZ3ropY9vWVZxx8yN9i9jihK78T5V02Kbc/rMk\nWQxXL0MdRmKDDJ13SbTYWijkFco3FGOwI/VhbsqbceBLpJvI28teVXMDCngFmBQieviZFDJaqT17\ngYPV09DDpjo75drPrear8DVkEZUViTURZJna/6rMRRUj9VZNdK9enZSMV33zZuRzOABKRixH0smr\nizcLJqP2si1ouGoHXswdTzke8Scf5tkc8rG8Qo7wtbiTF2dlt3a48OYDtt9/XuyOvqyhqKhOcVBm\nUpfrmHVGcl4MZTw+9xPSChIwrBI1aaw0MLZ5Q8a2kuG0kiLgDjkkPaWVav+wxXMRFEWZ+vyqxtXl\n2oSli1Z7fSsMRH1z0f/brcQbFPt36eRM7OrG1LBuHpesK7+93j659wEA2mxtGGuZkMa+5XxldC4d\nTJy8qvmeE0tx8vOq+Snl5PngY8hzZlEfAFjn7Y3oGTMwo2lTmOrqwkpfH1MbN/6/V8QT6Kdn0Px9\nCZy5haE+TPXJEqwzz15T/839H1L90CY47F0Lh73kNr2CMabjxUGZWdG3tBmJFylnKdr0AKDN1oOB\nplkJ3NX/J6E/yOHtVpUrSbFUDYqUH6qLmwmiD7vGFs1gq2uHV6lEI4tbiTfQ1qY9yV7e/nxaATnH\nQoutBU0p3cvo8K2+lFQBsP7TSmyus0vGGfS4mcjudqguloaTdfx9qy+Fvb5yYiGzQxdSIiNMmOjh\ngYkKltKpGjsTI/lGNMw6F4TAd/TiUbLQYLNpI3JTThH5RAeHUvsVvBH7ey8psRumNLbsjqe/LoDH\n5wr35gX5LXXN28s6VeVkFxbg2yiyMurd71+w16s7vBxckJybjT1hrzDavb7U8eKizDh6oOitZMva\ndUsK8ZI3AKhma1VCd6IenqU8oWSzf8oUfahqsbVIe9Xie+YCXv8WdcpqQJOVL+nolrmtUegeJVf0\neVzloiBTXP+Tb6RiJPfkl7mtgbWujdLz9a7QA1sid+B47GkMqFj6xKRkoaWhoZD9zfBITDl1Rfi+\nhasTOrhXQXlTY1QwM0GL9Xtknv9u0WTU8N+Epmt24fFsURLog8ivAABXa2qjn4xcUWkvk8ThksTL\ndjhcDOti2YfupPGeFWahhknzYr2XPV7d4bB3Lfa364E2FYkqiHG3LyGPI9oKYbNYGO1eX+p4cVGm\nHL04Lb1X4971OX/9PagDDrd4EwK1FfwwVAY2iw0en/i+zv04RXL04o7cWkdxhzTYgbo/n8khJ/yo\nQgjnTlKwzGQ6Sdis4t2Z4/K5GP+anOW8qmYAzIv4vTc0r4cjHoqLNtGhTB19cXE/Mkbo5JXNbhcI\nSaVk5yAjNw/Gerpot4kQd5GUhRXQwNEeT6K/AQBuTpWfOKwOpNW20407GdZiVAtPZ6PKGvp2Di74\nNmoW/J7eFjr6NhWcsb0NtapH2nhxUWYd/T/Uh4meLvLEejFn5ufDSEc99bNsFgvvFk6Rb1hEPMyb\n4GnKIwBAemEa6dgNsbB9MyvF1eF0NYqn7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Bm46AgurR+lwB0rz1+9R68ojtvXobNrVWzx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\nCQQCgUBQYIjQEwgEAoGgwPwfOMKa6aO/NlkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a36ebc90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stopwords = set(STOPWORDS)\n",
    "\n",
    "#mpl.rcParams['figure.figsize']=(8.0,6.0)    #(6.0,4.0)\n",
    "mpl.rcParams['font.size']=12                #10 \n",
    "mpl.rcParams['savefig.dpi']=100             #72 \n",
    "mpl.rcParams['figure.subplot.bottom']=.1 \n",
    "\n",
    "\n",
    "def show_wordcloud(data, title = None):\n",
    "    wordcloud = WordCloud(\n",
    "        background_color='white',\n",
    "        stopwords=stopwords,\n",
    "        max_words=200,\n",
    "        max_font_size=40, \n",
    "        scale=3,\n",
    "        random_state=1 # chosen at random by flipping a coin; it was heads\n",
    "    ).generate(str(data))\n",
    "    \n",
    "    fig = plt.figure(1, figsize=(8, 8))\n",
    "    plt.axis('off')\n",
    "    if title: \n",
    "        fig.suptitle(title, fontsize=20)\n",
    "        fig.subplots_adjust(top=2.3)\n",
    "\n",
    "    plt.imshow(wordcloud)\n",
    "    plt.show()\n",
    "    \n",
    "show_wordcloud(reviews[\"summaryClean\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Z5Z649DTaGHW2bRQEPrhLGSP4+ROJc2U7hnifO1+jZX5eIYei5wqWvXUX5PKy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\nmz4A0NWqJbpaSbdhulg2hQuDVkAa4mp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a2Zxxp84Ek+o+q4D+njn9xRVedpfJ85OfO6CX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YuH8GPqOsHWm8rGyqI5rCyao4Or8HnXhyw7gEsbp8pwVrLBT8wSqMdidmKQuiOs1RygpKIINS1V\nHhkTs/pEu6oiq5DQgdfcCwotfQ0eZc+5YGQuDvSNdZGaQPgvXc6UbdVPLV119BnaHu+fxyIlKZNS\nXlSFzuz/x9dkfP0g/rOLKvMdjU5jHfPEf0rExObCVyplpsBlntErqgyGrspgsecqCTVW0f+vkQGC\nV0+SWn/GKi2x1CwcT9LO4mHqCXzKjkRfA2dY6gveSVY3fhe8oxYioZRRJOWZsBn/eDpaajZDVkkO\nEgt+Aaj8bHRN1E0w/vF01FHSg66iDj7lEDXbOZPyVDaCHKgiL5KnXuZHdVP04pCYlk0t9BdBo9Eo\nLTj7n22k7Cf0+x6B7VRjkLWP9RyCsZ6Co3YEoaahjMU+vIlibJpKJ3+HrPtnwihniOTLQd1fNmh0\nTan1Jyw1VtFLU8lz0kVvJLrojZRJ35UBnSYP/FHasvSkF5aqTi/LZL257LLP1SI8s3adRb92TWHb\npSW6z9mNl/tlk5e9lppFXkkJWvnvAsDe3Zvu8UZsFZvupUFtHH0tUkdHyQS/C95X9TRqqYWUR++/\nY88cYiHdv0PVhBrVUv1o5b8LLu0sEPiabcmqjALqrApzMoQzjr60+KXMxyOjVtH/YdMHW9IkOSlF\ncQj8OpMygU51oZP+VFz6QZwZJhd+gIGy5GUaa5EN1c3xjoyfeQ9wO3EBAMBMZyIs9IXLUCaIjm47\nJO5DFIK/sEOjJjd7LECylqrEq3sfLkX/t8AZRy+vKHk6anH45xR97xm+yC8q4Slqw486SiaynZCU\nMVZlJ/w5992tWpjva6m5pBa+I30tCc/3Ce/QVMu/Q15JcVVP4a/ln1P0+UUlIsnnlqbJaCaVBQNA\n9cw4VUv1p63edESlBwEAetZdJ/R9nn5h+PIzFQAwZctJ+M0fDUV5OdzfOYvLE5/zjF5RQZ7VVnt2\n/28ROHg4WvkTSZd6BQciPjsLZ0aNp7irZpCVMhhadS4jM7k7ykoToFcvrtLn8M8p+opwZsHjfM2J\nEl06lYsqC9cWd1mhdfs/9QENdExrcRM0cFdhyy9Nx8Ufc5BV/EPqO///rSIe2KddJ8C8nqFQsoDg\nMLT49Ey4BJ9DfDp5uM6WkYNg11a4iltzTl7C9Q+8eafXD7PC6A7CZ87ruHEPcou4dyKDWjXHDvvB\n0FVV4XNXzYEGuljmbu8ZQ0mvqykr8lXij3dLfixQ2UzusR6pv7Io5ehydIQ+Ww01Tf6fCabHeN36\nujh0ZynXNSZqGso4/Yq94Jo/ZjeiX33nktkX7gmT5nUp57RvzXlcDI6klDM20Yff1QWQ54jNlzYD\nTJpUecy8rGAwslCUfwraBpEozA+pkjn884qeefbO74y+puLa4i4CPvdDOaMMDJTD/1Nf6puqMeZr\nd6K0rFygzKKzV1HOYGB4O/5+CdkFhej8H/9iQF4XIuB1IQI3PabCWJt/GMzAnYf4Ljiuvv+M/636\nLHDRUkvNJis9D+M6rxZavrysHKM7rOTKBsePXz+JWHeyULG8nELYNF2IKzFb+YaSudl6Cxxnrdth\nPIoQ/hgmIS4VQ/+3BCOn9MK0ZeQLOEk5+u4NJplLL4W4tIgIeQCriYLTU1eMxa/o4KdtwK5NoKzK\nmwa5MpBtoe1aqpRpzW9BTV6fUs6yDm/q34pwOjRVBZxKfk6/bnjt5Y6PazwQMtUezQ3Zv6MgJV9S\nVsal5DWUlXBx5mREr/bA9bnOXIq9v4/gEBhOJd+zqQkuzXbAay93LLbuxapf38ebf+XBWmo2oih5\ncVgxVbIQrKin/EsHrxSQwlcQZw/eE3c6lHjdvQGTPd7wf/VcZmOISkFuIba5BghMqkPWRpWEpyqo\n1jv62MQ02C8nVkc3fGdCS51d8pEsBa4kVMVunqk8OU2j0jahi1pvPin/KYxU+ZdvrQqG7WWnKq24\nS7ZoaIyLM6nTlAJA67W7+PbTUFcbNz2mIr+4BB02EKVNh+87ivNuvPkaOI8a3q+aBzmOamjO3Szg\n3M0CoS+isPLiDZ57heH+uWe4FHATn1/GoiCvEDoGWuho1QY9hnVEF5t2YvX5N5CQ9wjPUrYjv/QX\n1BXqw1zXEY01JMuIKQ5fon5yvXdfNwq24/kvhBPiUuHlHIjRLsJnqnx+9yO8Q2fBrIMJACAnMx/2\nHVex2pm7ec6d+zDzZSguJHyQFk3YR2k9UFFVwip/Z7S1bMJXZkiLxSjjWGT7LA2FxybpJ2dimu2f\nJSWw0uD62dhhUOOqC8Gc1lFwLYCNjvxrZFirO1ZK6J6wVGtFP2El+wFvPdcPjw9UI29dRilAq9Z/\nPpH5lnMV+aXJ1U7R/86RPC/33S+xrNdvV/AvnKGqqIAgp9FwCjqNj79SUFBcAhVFBVJZZQV5LiXP\nib1Fa5EU/TK7LXhxk9ycmv4rE9eD7+F6MHtH1Xt0Fyw7LHwtAyp+F7zE9Z8zKeUEndeLEsaWVhiN\n8B/OfGU5F8Fh8RORWcRdvCarOBaRv1Yj8tdq0GhymNSU+qxZECExPVHOIJRkZ4OFaKHFvxjKupns\nB7idQ3eBSh4gzrgP3V4iUKYihvV1WEoeADS0edPjXnjHnTVvb5gHXKy2CNW/MEcIAHDp02auI4Lr\np57JRNEz6WRkjLhZnnifkowhocFVmjAn5c8Rimmr+jxtPz4n4e4ZonrpzG2TMGwGUbWwvKwcNlqy\nL7ktKtXadD+yTxvW61F92wiQrAL+MiUPAC9Td1f1FEgZ0vp/rNenXogX4rXozFXWa0UKpyJLU3Ye\nfv8Hz7jaYpLZURhrhnJXKquIHF24r5e1mgNfJc+Pu6efwNNqvUj3CEKepgw5muCKb1VBaXkBj5Kv\nCINRht8Fr8QeIzH/MUvJ00AXqOQBID2Znaq3bgPZlHcd7tSTUkZRmXsBamxaRyZzqUzuxsfBZI83\nBocG4+SIsVU9HQDAYJd+PNfce61mvWYqeYBwumRy88RDmc5LFKq1tlo4qR8WTuL9I3MyaVBHzB3b\nS+g++Zn8N32whSJdBZ7/4zZ1n/6xFl9yHmOW9juoG9xEYfYmqOoeBFAGgFAY2UmNoV7nJspKokGX\n0wWNboj89KlQN7iFvJQhUNHxBl2+hdBz5ORX/nNEJMwGnSaPckYpAGBi0/ug04gvefAXSwww3oUb\nCXOgSNdAcXkOAN5dUvAXSzTXGgmAgc9Z59BSexzqqVminqolbiYQlpKC0lR8zb6E3/lE9qb+xtyJ\nTc7FjURuSSJU5PRQUJZGOo4s8LLti6NPXgMAVlyMwIqLEQicPBI9mjYSuo+sgkKxxj7x7C3m9mNX\n9dt+g71zHEbh4e/WqzN23xH89xGU775eE0MoKSsiNTEdORm8+bbfPfwMp9YLEBS1TeAYwqCnbIYJ\nTcnPYKvSP+P4V8KJlOxzVsooxPGYPgCA6z/dxPosHovpjbI/KaMHGO8SyprV07Yt7oQRCwv/DWEY\n4Sz880dYhkyUfiVJcRk4uhOun35GLSgBTHP92l79q533/YDx3XmuFeQSzxPdutp87zvlcxn9x1WP\n/8dqreiFoV1zY6n15dR4J8+1QUaz8CWHeIDQ5ZuhtJBpjmXvClV19oIubwq6vCmyk5pB3eAeVPWI\nMApF9ZliK3kAiEiYjf7GO1FPtQsA4uEWEtOT66F2I2EO1/vgL5YIi5+IoQ2JOZyJHYo2ulPRVo+o\nu60sp4sv2RfQsQ6h4JkKPfiLJZpoDoG5Drny+Z+2PVpqj+Map7L4uMaD62zcJfgs63W4uyMa6wu/\ns+Lsh4qM/AKu90/ifvCR5KWzaQNAgKIf15g7nGz7jRVo1ZX6TNK10zLEfSDOiZO+JcPJfAGC3kmu\n7Ksr/BS4PE2Za9EpKsdj+rCUvG3DIOgp/Y/iDoLFPhNYih4gzsvdVg6HnQOvQhAXeQXZhbKJiqys\nFpxUN+XOCecuHQCe34hivT4ew6szaHQaGOUM/PicJPO5CUu1Nt0Lg4mR9D6EKnR1nmtyNPLzWfzZ\nXQNAfsZMlJd+R1HuXqjq+gOMPJQVP5LavJhKHiAebhWpq2LBcy2riH0mXc4ogzydHb8rT1dmmSpF\ngVPJVwUf13jAb+Iwnuu2vodFUt6SkF8sfPYuFQU+n50/ZPxmx18vOjBDKCUPEBXNPP1cWO+TYpOF\nntPfhrmuk1j3JRe8RimD2JWpyOsLreT5sW/tediZLcX757HUwrXUKD485s63sWKUYEdwRnllZOkX\njRq/o29UV0dqfR2KnYtZzbg9JYO+EbtezXrxXD85z+g1jYhQFiV1tjMTXb4pAEBBhTwJjyicjR3O\n9V5NnjsZhpFaF1SEAban7GjTMByN6Q6AARroeJm6B5ObSW8hUpn0ad6Y5TG//UYk/O8/ZbX9b5WP\nULHrksS3/5+9sw6LYnvj+HeXpVvaQDCwOxGvYhB2e1WMa3e31/7ZrajYgV1YiITd2IiBIBJKd+fu\n/v4YNoad2Z1dlvLyeR4eZs6cOXO25p1zzvt+X2MdbSRkMEtbmZnHLPXvdu8VaP6XfIbGcUwX7Jx2\nTK5zKiOWOtL1H0w0mIsbaXMI4aaLod1RwMsGAAyxvg0tjvxr23d/bEefBkvBE/NIL8gvxKIRhCe2\ngZEOdl+dBfNaRnK3XZZ4X/bH3hVXy7sbmOx1E35hROpoweje6sDOCjHSX9ZvG8mDXvCZN7OTPlNb\nvY50obCypNIaeqZa9cUx0NFEamaORPms+u7YHzIWm7/2RlP97mCBhcC0+wCAGfVPlaCnJWew9Y0S\nnc9iEdOATQyJMLTGhuUj2qBsFvS0w4Kedjjr/xEbvB4CYG7sFaVXExu4v2Lm+PUkJJxRPXmNvIC1\nl+Zh7d9lmyCmrFFm+Jy+mjV8fk8TGvnhdXygrqKvcHt3vm9Ffl4hJnTfgqQ4sjpealImxnfbAgDY\neWkmGrexUvg6pYF4KF5FwC/sB8JnLhSu1VcETgVuxz/NiIgDqtj4HT7SU193GVJxopcq/dS9vPi5\nTqd8SNBVNcbyxl7objYRoZlvEJzxEl1Nx2F5Yy/oq5qWQ09FFF8Lj8tRLNWhYD2SjmrqNghJu65Q\n23QE/I6VevxVGPM1bzpGd2iJ8xOle+j2aCiKFZalsCeNZc6iWOjlN3yl1j35onQzcTVsTx///Keg\nxVHeby8l/wficz4K9y//dCpxm2rqHJx9vhJ3f2zHhCV9KOss/PsArYpdedCr3mIJIz9r/WDc/bGd\n8k9W+OCfioW1Ka2vBJMY+dHLB8qsU1b85wy9LDoYDcG8BpewoOFVdDIum/COMyEdSX/i9K51UqLO\ny7iNCl3n/I+uwjYuhkpGM3SrvhOZBTG4/NNJ6M1cUg4/eS31+LRzJZutEGCsIxlnLM6+v/sKt3vs\nUVx1jM0Sxc1f//BF4XaUQcKvyptwiauAj0hJySkkkuzU0RMtp3lGMhNbYsKwKfa4+2M7Zq0fTHm8\nb4OlSruWogxtvVqi7O6P7egzyrYceiNCR00NjhdOCfd3+T+HhY5u+XWoiDspJ9CoQz1S2cEX9Mmd\nHl0VOY6yWBUnmVilnbr/E2ASDmSk0UhqPapj4mU/M+7ieew6ynA7j7CBpGUBLY4J7bVkXac4NmbG\nCI5LRHxGJqafvwm3UZJOdK4PXyK3oJDibDIT3T1wfCz1zRMAuDw+HPeelNqGCpsNFTYbXB4PcemZ\nGHr4PK5OHUVb/2diMo48fYMtgyRHfXqaGkgvCtdb6uGNrYMlp5fbb6ZXzVIWe2adKPVrlBbJeUHl\ncl3Bd7ap4VjcihiBlLwQnAnpqNQw0T6jbIWGU3wkz+XykJ9XCDX18rvtZqWLli1ZLBa8QmQL7GSm\nSy51KpvPk2cjj1uIbudOouOpw5jTzhYvx00p9evKYtrzS3g1Ww3Vl9rCy1G2VLj90I6wH1rxZkCq\nDL0Y92KP4E0yYfgEkriHfkyEhWYDDKixpDy7pjD+8fQ/ZE1O6YXN3JoxRugJ//D7T+E2iwXwxZxS\n65pUQ2hCstS2nodGSHjVs1ks8PiS3q3S1ue/rJmL9Xce4PzrAHyOjpPpqU+nmxusoucAACAASURB\nVP962XThuTcDvuFmwDfaetIS6Aya5YTr+30wtOZ0XP1NX4+O0E+EY2jr7swd0koTDRUD5HKpE/0U\n52PSoVLujXT01axQT68ffqTfBgB4/ZqA3rWU/+BUPPnMstGHsOvKLKVfRxGO+jJbTnhyJ6CUe0Kg\nrsLBi7GTy+RaTLC5+j841WiEjwOXIquQebRNRaRq6r4Iz6ideJN8A3V0yKFqtbVb4mvao/LplBJo\nUY0Iw8osEMV0Po9dBwDoWcO1VK+93FlS27u4bb4zS7EEEFRGfpGDbDWx1X26o65JyR9wHi6YJPW4\njZkx9DQlQyHFmbaVcIrMSMnCrunyedDPsF0p3N58u2I8hOqoSkqF0iFwiCtPbM3+FW4n5X4tk2uG\nf5fus1KW/AlKeqWNq+1QAIA2p+KpRsrDf25En5CSiUIuDxbG5BSkgWn3MaP+KeirmpLy0nc1HYuP\nKXcVulbDdaIR499tmmNd3x4KtVMSGhu6oLGhC/yiZiEu+z00VAzRwmgy7MzXyD65hIyzbY1xtq0R\nlZqOxdfu4kt0PNQ5KhjSuimWOonUxGR5yQetmw8+Hzjw6CVeh//G5+g45HO5MNPVgXMTGyx2lG3g\nxRE8XGTl5WPZdR88D41AAZeH2kYGGNmuBYa0agINVek/DQt9XQStm4+svHxMO38Tn6PjoK2mhmVO\nXdC3uciLXtZr88lyh5P2WPi4P4GP+xOMXNwfg2Y5Qd9Ycn0y+H0Ylvfdisy0bNL5FQU7s9W4GUHo\noN8IH4KBVtQJlco7E6I4Y+q/EvbnTEhHDKtzFxoqygvZLY5ZGYjPMCXyRxws60kPAUuMTZN6vIrK\nwX/O0PdecAQAdXieNkdSzvBXlmLa6hUNhxrSdezvx35GD3P6KWDx4+3ursCbXpto6xanhoGeTK94\nWbBYwKxuynUY0lZXg+sIIr/29LnucFstUgS0d96KR970zlOC49rqajgzfphC16eSv72w/RYubL9V\nojaoKIsHAj01S2hzzJFVGIuMgiicCbFFB9PFqK8/EBn5vxGcdh3fUi8AAGpq/4XfWU9LvU9MEDf2\nV372krleP3/ofuy+ymz6PeAVWad/zaGKk8J0qvMOqcltCvILMaaz8vIpVBYmPj1PuX38L5FPj81V\nwiHPVFMX8TkZsNY1go8TOSmUzdX/gQVAfO4xeOiqUumzLKqm7sU48XO2RJnHb8U83CsbSXkZ6OK7\nFvG5aYjKTsaAR9ux5P05mecNebILfjGfSO30f0TcPOx8Vgun2Ec824tzYc8AAG+SQtHj3v8Qn8t8\ntHDrjuJJS5jgtpeZwaxCOmTNBz7847fhbEgn3IwYLjTy2hxzdKvOLHtaWdHFQvTgejFUerKioI8R\n6FVvMdZPPw0+xRKSgHseb7FsNNkXoaIJ6NAZ8uT4dPRvLD1N65/K8b9GCY26YFvcyAPAm/6LEDx0\nFZ71mYeX/RYgLIM6AmZB0+4IHrpK+Fde/OdG9HQsb+yF3d+HC6ftBf91OEaYbXNG2ql/BJoqanji\nuBbt7q7Ac6f1MFLXhX/SD5nnXeuyAE/iRc5oU/yP4rjtVDjc34h8XiFsfVbC33kjQjPisCfICy7W\nnRGbk4r7PVcxmhlYud4DL179AI/Hxy5XIm5dMNLmcnkY8Pc+9HZsjhlTROGC3Xttw57to7Bw+UXU\ntTbFoX1jhfW/fIvGwuUXMXJYB0wYS0z52ztvJbUrICk5E9PnnkHrlpZYtpA6Rlqcm54fcODIAwzs\n24rUn/8aY+q/gtevCZTr3gNqX4KeGvNkRGVFbZ3uMFJviKS8IBTwMuEfvw0dTKX7Prz0+4ze9Zn7\nRxz0VEzkS5ncCNyEgc1EQi+JsWkyY/yLOxTKgmldafWO+CxGrbrUGgpM2/e68ApeF6hnZ6S1zwR9\nNZGkuJG6Nm29qQ2Vl/+gJFQZejHmN7hc3l0oN7Q46sLtSa8OY2ebMRjxVJSwgcunFpm5E/UB277e\nwmOHNRj4eAem1u8JE3U9rGs+DBaaBgjOIJwA5zfqA0M1bYlryWLDaiKs7tadD+jfp5Ww/NWbUCxb\ndRWPvJciOSWLNNXO4/PRvGlN+N1eRGqrR5/teOS9VKL8kfdSobEXh81m4/KZ6fgWFI3rt95jUP/W\ntP189SYUxsa68L21EMkpWbjs8QbDB7eT+troptN9A4Kxz+s5xnZtg+GdyOmZw+KTce7pR6wcUrEf\nJMQ92FvN3I0PByR9FeQNG6VCVvipPG31tjzFqB5HVQWFBVxGdQFCDvf8q9UVIq5aXVOVseG2sjGH\nmxchQes4rB18r5RuBrvKhGDqflDtFmhqaFHOvZFN1dR9FQAgXH9/02sT3DvNhIm6Hu73FE01OVqI\nDI74KLxPjVZ47EA49t3ougi9qrcEAHQysYG1jimcLFoAAEZZ2QmPiV9LUfYe8INTT6Kdaob0T9Ti\njBkpX8pIQwNChKdRw+o4e1F6boC9B/xg17GesD9nLyiei9qxhQ08l4+nPGZtWq3cjDxLxu3C6w11\nbDyVka+sZMXUxsUHF3D16WVcfSp7YHD16WUcu3EC2bFWyIphPpORHf8XcpOVJ+ZTnLs/tqN+U+oo\nCRabhflbhsPNayFic9LQ4e46jJlbchVBeRgfehJ+MeUrSEXHv+88wQKx3r61XX+MqSf9gb4iUKFH\n9HS54ysKO98/w74PL/BqxHRYaJe/itN/CS6XD21t0cyANMc5ASbGktkJmSJrNMblktdqb12Zq/C1\nKirmWpJZEgUUFHKRnVu5Y42ZoGnyGHzuT3Dz36Ig84BUZzYA4BWMAjf/LfLTZTu1ibeVFVMbXG4k\n7XEmbchi3w3Z31HnBzvwsc//ZLbt/GAHvLsvkqsPfPBxL+YrHCyaUB6nM/TyvMbSwOvXFzjVbCTc\nD01PLMfeMKNqRF8Ej8/F5q+9Kf94fEn1tv/5P8CH+Gh8GzcfFtq6aH52n9T2VVWq3uqScPDoQ/B4\nfISExgEALrlPh8fNd/j4KRL+b35i9MQjSr/muCnHkJ9fiKEuB3DmmPS4+Uvu0+HQdwdiYtPg/+Yn\nvgcT8dKHQl0x5e044Z8yuPxC5PyYmZuHZgtFYZzNFu5GRk6ecPvKy0949zMKThsUkf3lk0Lhetag\n/46rcujzp7eauVtiv9P8/UjOyMbas77C492XHoLbnZe051UE2BwrqKh3h5ous7V5tmorqGrLLwKj\nbREBbYsIuc9TBIFBbXlnFVreIWbxrkZKTtO7BT8AAEx6JSksFJsjcqxl2h4LoofnKa8IZUvfGMko\np4TcDABAZFbJJZ8/xcfC6uAOWB3coXAbvs4z4f37G1rd2Ao7z90Y/bjihLjSUWV9itj6jQizmtfg\nIpY39sLyxl6Ya3O+6Fh/ifqrOnTHWefh0OIQOcc/jZ4jtX0tNbLgwve4RIw6cQntt7qh4zY3/M/r\nAWLTM5XxUv5IbNvXRZ8he3DmAmEIWCzg4d2lWL/5Fo6cfIwFsxWbWjxy4rFwfd7eeStprX7XlhFw\nmXAEbVtbQVNTTWp9FgtYtbw/xkw6giMnH6N+/bJJUamjIenvoKtJlNUxq4Zhts3Rpk4NRKek07Zx\nJqQjPiQeRGr+TwB88PlcBKVewZkQUThjNXUbAMpbY25kaYpqulpYO9pRWHZ+mQuOeBHr6e9Cfivt\nWlXIj76qZO6IRvrVAQAhGXEKt/cuKZzyeEBKJOJy09HC0FLimImGLvjgw1K7YkQsmGjoYEqDTuCB\nDxt9U7zsV/5OlrKo0FP3AhRNSUuFtOWAZY09SeuQWhwDLGt8B1u+Snpc1z6+DRETmXvcmukR08Zn\n/D9go/cjiePn3gTg3BtCavLk2CGwtZb8whenJII84ucGrZFcQ+24zQ2pRXrudHXkuYYGh4OP/0qG\nLzJlzQpJrXwWC/C4IBnPTDeNL+7MJ2DKhK6YMkFSwU/QxpWzMxjVB4Audja451n2Wcqerp8Oz3ff\noK2hhvtrRKPH8PgUtFhMpLFls6Ub6c8p7vicQj0yqaZugz6Wyh219GormZrX3FAX9aoTN/NJe67g\n9V7yw3NBpisKsk4C/HywOPWgprccKmodKNvPSegKPi8DWmbvi87dg4Ks09Ayeweq8Q037xny0pYC\nvBRwtCdCTbf886AzJT9jNwqyDoLF0oea/gZwNOhT++YmDQO34DM4moOgrk/4yNyN/gTPqI+05wjI\n4eZj4KO9eOwgGXZ3pON4dPBeD3/n1bgb/QmrAqjFkma+cUcX0wbY1prQ1dj//R4cLJrAv9cajH1x\nBDw+H2ftpqKD93rkcQuEywat7qwWbpcV0sLhFjXrgUXNekitW57hdMWpFIa+rIjO+Y4amo1IZZFZ\ngRL10vOJqdHax7dBhcXCzwmyb+61qxmQDJ80xrsTPxJFjKuyeLVkOqm/PxOTUceYuapXTgE5O9mH\nEhj5smTn1jtYuJR4sJs3yx179o/FyWOPMX5SV/TsshEnz05DLUsj3PB4i4GD22LcyIM4fWEG9uy4\ni3mLepVLnw20NbD8vDcAIHCn6DvD4/MRuEP2d2h0/RcISDqCyMyHyCiIhgpLFdXUG8LWbDl0VWsx\n7kdEfIr8nS/GlX/HYsnxO+jUqLZwOSAvdQ4Kc24CANiqjcDnZYBX8AG5ScOhUe00VNTtAUDM2Y0D\nNscafF6SsIzF0gGfn4msGGvSlDifG4XseMJJk6VSAyxObRRk7kNB5j5wNPpC3fBAiV8TU3JTJoOb\nS059TDd9nxVTGxpGV5GbREi0slVbglcQiLyUqcgDC9oW4aT63LxnyE12gYpGT2gYuKIg56Lwvflf\ndUDT+AbYqi7C+oJ1c3Hj2qt6c/SqTo4CEdDeqA78nYnMeLvajJQ4LmjvlTM5e95Ne5GfgHsnURIb\nf7F6kVlJ2NvWBVUoTpWhL8LFaivcwxYKk9kQ8HE+YhnGWZMNtJ6aOlqZVseNfqMZt/84JIy0v6BH\nZ4zt2AoaHA6e/AjHlHOSeeBf/IxApzoVI+Z4xPGLeL10huyKRcy4QFZ3K//AImZ0sBWlpIwIJ5xs\nGjQkwmdmzXXEjq2e2HtgHNTUOEhISMeOfcR3oHVbK6X1Yd6p2wiOTkRGbi4833/DsWlDocZRoS0H\nIMzMJ07nhlak9XvxhwBxWGCjpdE0tDSSnZ1LGmcfvMfZB8QI+sOB+fB9H4xrzwh/gmEb3WFmqIv9\nMwbJbMfvfTDeuc4T7hfm3ASLXQ1aZsVFkwpBdQtT1ZkBNd2FyE2eAG7efaio20Oj2mnwuXHIjm9P\nqisw8toWoaS2smJqozDXE+ooO0OvYXiUdH1Z5CYNBVhq0DYPEZZlx7UDnxcvWTfZpegahK+GikZP\n4TXKyhdAUSy1jSrMtH1lpUIb+gFdyi4r17lwYqpWXOdewOkw8g1yeWMvuYw8QEzZA8Csrh0xy54s\n5dqlnpVw9C4+ip5wxqNcR/VDWzXF1Q+Ec0x6bp5c574ME3kMG+uQw98c7EQeyBOndceIMfKFvTHF\nwW4D/J6vlF1RDH0DLQzsvRNNm9fCdc8F+MfFDaPHEcI6A4e0I9YLABgb62LcSDesXDcIJiZ60pqU\nmz3/9JOrHAA+bpf0oHabLNuoKpPiYXSOrW3g2NpGZj2q8LviSw1s1UYSdehuX4Jpd3WDnciOawmN\naqcBACwVst8En0fMQKhqT5JoS9PkEXIS7FGYfRYcLfl+62WJuJEHAC2zN7QPCWq6iyT28zMUd0qr\novJQoQ39yvGOsivJybje7ZCaKZlfmTySl052YQEand4Nt+4DwOXz0a+O5HojFSfGDEGnOtLX3v2X\nTEeHbaKUpXsfvsDcbqVjCGWxob+D0NADwNnXHzG6fUuZ57XfSk65+mwhOa+0wPiKG/yKQrPmtXDD\nS7Q+e+rcdNLxgYPbAgDad6wLr3siX4Au9lSGqAp5EHjZP9pGfs85WsNRmH0ZWTG1oao9FWp6K6hO\nl4DFlp6cJi+F8GdQ05NcS2VzrAEA+Rl7K6yh52jSP/hRwc17AVWd2WL7FSPXQBWlT4U29KXBrGHy\nZTqjQoujCm1VNfS2biDXebKMPADoF0tt6vbEv9wMfXE23H3IyNCn54qc+HTVmavgVfHfhk5YR11/\nO3gFgeAVfENB1mEUZB0GR3Mg1A32UtZnCq+QSDgjbZqcahq8osBiM1dkY7F0wM0nizhx8/1L3IeE\n7Cx0OXsMverWx64e5NnQTu5HoKeuDu+/ZYeV8vh8eIUGw+29P4KSEqDB4aBTDUus6twdlnr6cvXp\nXngoTgS8g3/0L7Qyr44xTVtiQH3iQVxNRT6Tdy88FOe/BODZ7wgYa2qjq6UVNtsrfwBa2vznDL2y\n+Dp2nuxKCsJmsUj51rk8HlTY5RMJeWLMEEw4I/KgPfLsNaZ0bi/lDDJvljFf1y/OjAnHkBCfAee+\nLTBxmqQaXNDXKKxachkmpnpYtKIf6tSTrl0tmEGQdzq/ivJH09i7aKsQWTENUJhzA4U5N0q2vszS\nAZBc4deoaWHRaxcUR8v8C7LjWpMeaticOtA0eSjXJQXx59eHuMDl1mVkFzndenz/Co/vXxE+YxGW\nP/LFha+Eb0Z0JnFOn7oNcMBJcgai75Uz+JwgGa6XVVAAv/BQ+IUTD2MNqhnDZ8Q/UvuWlJONNicP\nksrexkThbUwU5vrdgeewMWhqwizsddOLxzjykRz7H52ZjgtfPwlfW8DEWdBX16A6vcJRFUdfxOav\nvXE2fInYfh+hYI5n1E6J+vZXjqL28W2M25fHGW2pYxfSvtvT13KcrVw61bGElpqqcH/X/edS69vt\nOFzia2Zl5sHBbgOWrByAK57zkZ6WIzHN72C3AXOnnsIVz/lYtKIvpo0/ipkT6UVhHOw2YOQYuyoj\nX+nhQNsiVGiccxKoQx2ZoKZLRMtw85lp4VdmuPkvwOclCYV4tC0i5Dby4kz3vomcggI8dJmIwQ0a\nC8tbHN+PC18/oXvtOvg0UbRMcCf0O2U7dQ1EkTz1DY1waeDf+Dl9IQImzsJAG9Fy2PfkRHiFBtP2\nZ8rdGyQj39XSGt+nzsOLsVPwbyd7AMRDha277PuT1cEdQiOvq6aOLfZO+DFtAR67TMKE5qJ8Fy2O\n70dWQeVQg6wa0YvR05xYSw7JeAWAj+WNvXDl11oEpt1H3xrkuFo1FeZP0wDQ0NyEcd0O1uSQpg+/\nouW6lrK5NHEk+rkxi6NOysoWbtc0kG/KTcDQvrvQq29LWNUh3rP5S/vA69YHZGbmQkdHA8lJhLCQ\nz9N/AQB16pnB9+m/tGv+N68RP9oJ07op1B8qkvOT4Rd3F6+TXqGQXwAjdRMMqjEUzfRbkOqpyDHq\nksaLxKf4lPYR3zO+gcfnwUjNGE7mfdDByFb2yQoQlxuLK78uIDInApkFGTDXrI56OvUxotZosFkV\nZ3zA56UqfC5Hsz/yUmcjN8mlyOv+zyU3eaJS24vNykT4DMK5b1eP3vD4TmQqTMvLhamWNk70IZJR\nqbJVUMCjTwC016EP6lczwqw2HUnl+uoa2NOzD5qamGHD80cAgBk+t4TXLI5vmCjTZsi0+VBlE7+7\n6jp6mNyyLSa3bAurgzsQk5kh9XU9jhRFR7UwNcfNoSL/jNr6BljduTtmtO6ItqeIh4omR/fR9qki\nUWXoxTDXIEKrrv5aj2pqNQAAw2qtpfTE9x08Qa6265saM67b0Iz8UBAYJb8SlTKpb0oObRl7+grc\nxw2Ted69ufK9RwIKC7hYsLwvqax9x7qYM/kkTlyYjvnTT6O9WBicNH4Ex2L/Lh+ljeRvRF2DV8wt\nifLf2ZFwDRGJMR1pS3h619KyxJtkxdZCb0dfx+3oG5THfuf8wvGwQzgeRuQ7n1t/EZroN2Pctrgc\n7+6WB6HN0ZYoJ10vOxK/syPxKP4+AEBPVR87WkiXfVYWWTG1oa6/HRzNQQBLFeDnIS+ViDLQNL5b\norZV1O3BzXuErBgraJo8JOLvuXHIz9yJwuxL5Gl9fja4BZ/B50aDV0gk8MnP2AW2SnWwVRuArdoM\n4rdUPjcKvMIg8ApEyX4Kso6CpVIdbE4DsDnk7zCv4Bv4vGiJ+myODVgqNSTqy4O22QdkxTag9EfQ\nNPEDmyMZHaEor/8ROVOu6myP1U/uS61f3MiLM6lFW3yIjaGdEQCIdXQBizp0Fhr54rwcO1XmiH6c\np2iZUtzIi2OspQVH63qkh4uKTsV5NK8APE04hwIe4Ug2tR4R05rDpX4CtDklX8IdDY7iz1RZ+eU/\nPeTcWHQjeB1OLU9qv/soZbky0DPQQmoqMVuQkZELAwNJiU4qZkw4BgBISpT+JM+EWe8nUxp5Kqa8\nHYccbg7q68jnsCl+Pp2Rp2JvyA7MfC9dj5+Oa78vCa/JlPSCNKVp98uCpWKOvLTFyIqth6yY2siK\ntUFh7l1omjwES6V6idrWqHa6yJizkJNgj6yY2siOb4/C7Etgq5CNYn7GduQmDUNe6lwUZBKRJQWZ\ne5GXthQ5iQPBzXtMqp8d3wm5yROQnyFa4stP34C8lBnISZBUscxJdKasn5s8lrI+UwqzLyMrtgFU\nNHoWm7p/DLZqK+QkOCjctiwaVmM+k0nH3HbSZ60meYk0SKQ9NFjo6IIjxdeJK+YXdXnQCKnXPNJr\noHB75+tnUutWBKoMfRE1tRrhWcI57AgajOYGoi/+q8QrlPVHN5TtfS5OdjGlOHnQVVeTXamU2TNM\nUga4OOJa/a1qlewGXJwPb8PRqkiUpm37Onj/Nkz6CUX4PluJxSv7Y8SAknloLw6Yi3we9QOXkZox\n9FQllynmfpiGGprMleUEbAvaSHtMT1UfuhzqTIkFvAI8Tngg9/XeJL/C1Lf/SJRzWBwYq0u/Ub9P\neSv39Zhi67sM7mGPoGXqTzJQgj82pw6pPlUiGFn7ovIwUts9A0dC0/QJqY6a3hrKfgj+VNR7FGuT\nut6ls27QtojA6sknkZOdj5M772JA85XQtojA0K4jMLTrCEwcNBHaFhFQMwrFpXOH4O11BrG/ktHL\nZilGdFyP3Rs3QE13Gc1rIb/GvDTCF0EgliOAzbGCpjHzh0lFKMkAR4CumvIid/rXpw+FvvAlQLjd\n3oI6hS8VfpVgZF81dV/EGCtJhzsA6GY2Ad3MJKegV3eULyf4txjmYTqfomJJ+81rmMt1rbKg5SZX\nfFxBL2t7YcLfCrc9cqydhNhNUmIGVv1vCABgxbpBcLDbgPs+gejhRExXP/CVzHolwLFXc9y48hq9\n7TfD65GkTrcsUvNTkFZAXgueXGcG2lWj1llPzk/Csk9EfoY5H6bKda2pb/8BH+SUtysarYWVtjVl\n/aD0r9gVLErEcy7iNPzivLGhKXNH0TyeSAyptWFbTKtL/7kWH8UfCnXFoTYnwJbii1DA5cLmIKG5\nX0NXD8/+IeLX7d2P49FY5a4dV3RysvPx5V0ELhy8jxmrB2BEh3W4GbgR4xeS5ZPtHAmxsKFt1yI/\nlxgkHN9GaH1cfEWWkf0T8AsPxd43Lyg98JWJcx0boT9BcU4Gvhduy5Pd7ntSVZraP5pmZ/Zi4K0z\njOqGJiYzbvf0q/ek/eFtqPWlxeHxeTLrKNIXcVyHi8JjcgsKEfA7Rrjf58Bp4fZyJ+me0A52G4SO\nc8cPPSDtA8CEqd3g0Ku5sNzBbgMu3ybHWN/wWYyt/7spPL553Q2p6/AHT0xCYSFXIZGeJZ/IoZTj\nrafQGnkAqKZmhENtTsp9nWxuloSRP9jmOK2RB4CGeo2F/gAC4nMVu1mOtZog1cgDkLgWACwMkJ65\n0ebgHnydPgdhs8kOrRFpijvSVVaObvbEzovTceeCP8xrVcOoWT0BAO+eUnuUj57tgLvBW3E3eCvu\nBG0u0bULsy+R9vNSFzKS2i1NDn14DauDOzDZ6zqtkVfGrIAAM20d2mNhqYrlauDLrlLuVI3oFcTm\n1C4E/1M66QnvfCY7nvRsWFfmOV+imc8YzLzIbJ25OA6N6kFVRQUFXMKL9u/jFxG0Zj74ID88jOvY\nmqYFAoFBfhc3G3HZD9HbWnI03tRlBZaspB+la+uow/eZdAe79Ve+wSusqbB9WfWZYmtkJ7MOm8WG\nCksFXD69x3Fx5n0gaw4cbHMcHBazn+j+1kcx670oc92Ut+MojbI0OhszC1VzMu8Nn1iRkmRWofT0\nyvrqGtDkqEqtQ4cuRxO2vqIp6u5mzbCxhSjByfrPl3E3mvxg/NJxi3Db1ncZHvb4H6a9OYTv6VGU\nbQjqCThtK/ngEp2TjCFPybMk4tdhypz/Ed7oZ58S6n5/TyUiQdr8RfjA3BWbnQGAYZNFnwmLxZI4\nzgRtiwgU5txEXuoc5KWRM25yNAdA3aBsnCqLIz5qtjYwxMNR1LM7n+Jj0f/qWaVcM1OKv5OZto7Q\nK78yeNLLQ5WhF+N9yh3ciz0MLr9Q4lhxidzDPQbi+o8vCEyMQzvzmuDz+XIr5SmTr7HMDX14kuJZ\nxtzHDcXIE+SRwTbfJzS1pdPGzBVeYdT5DKiMfx43CUk5L1Fdpy+jctvq52jbZ8qLRLJMaDU15sk1\nJlhPwdGfbrIr0sDUyAOAGrtkfhzdTHsyrtvTzIlk6GVRkljj/SFemGXTGy5WXeDx6xW2fyOvKf/I\niEGv6q2xuulwvEn6gTnvjsHj1ysMriVyyur7mJjFeem4RdjG59RINDUglCoFDwrPHTaBD6Czn6TE\n7pCn2zCxbk9MqtsTBbxCzHlHr9lQEeFoDgBHUzLVc0WBzsgDJfNvKk5oahLtsXYWNXArJIj2eGXm\nPzF17zh8Dz59pfYUF7D5a2/4xBxAV9N/AAD2pv+gplYjqLI1KHXwu9Wqg0H1mmB1x+7oZWXDyMi3\n3rxfZp1FHuRwIf8l02lqSlJ8JoCKr3L4ClBR3Mkut7AQJ1++E+4zcdpTlOfRw1HIz2ZcrgxOhR8j\n7a9tsonxue2q0XsAVzRGWo5hXFdf1UCutgt5PDyNDCeVTfdiNqvE5fHgdoquowAAIABJREFUYkUI\nSIkbbwHutnOxuulwAEA7o3qYbdMHe77flrj+ve7rSG0s+CBaWln/+TLu2q8qmoVh47kD9RS5oB+q\nbA7c2snne1EFPX83kh4Wev5rgNTj8rD79QvaY1u7OQm39719qVD7fF66QueVNv8JQw8AWpqyRzxL\nG91GByNias3WeDjGWO3ECMsNlHH0ipCdXyA1J/3Jl+/gGUh+oiyufS+O75zxpP2F17wQn0E/jdp+\n60EMPnKOYW/p6VxXtK4348JN0jHxMLySQDUSzy2kXsOjK6eGD9+IjuDyc/A0ahAKeVly9UtDpXQk\nL+/GeJL2nc3lf2ByMHMm7T+I9ytRn5RF2OyFGH/LA9auOxGVkQ5r153w+/lDYs2eCoFxpeNb+m/Y\n+i4T/rkG35EQaKFqI6OAnNjKQE2UYZHNktSx9Ou+Bt3vr4at7zLMq2Sj+YpONQ1N2mN8QOYoe7+j\nyHfoWAB9FEg+l4uUXMmEZgLEl5d2vZauACrsHzcKObE2KCgKicyNa4GcmKKESGlLkRvXDnzuLwBA\nQfr/kBPLLAGasvlPGHrfy/NQz1q6DjoASs/hmlqNKWrKj72NKBSo4brd2PPgBXKKpqRe/IxEw3W7\nsbXYFPilSSOltmlpaCChgd9l11HMv3pHOHKPTE7FiRfv0HDdbmGqWT2NkhmrIy6i9Kcvf0ZKqVnx\n+JiwFI61X0GFpYm/alzH2zjFtfiZwHT0+yOT7IzVUE/+710jvSak/eCMijMN+WPWAoTNXij8+zGL\nmX+Luor0tf0Jr/ZDi6OOl45b8NJxC6bXd5aoI6sNJuhwNPHScQsstYzhnxSCTr7yR29UQY24t3tx\n6h+SrVfSt55oNlWgokdF8+OuMtuqbyhampvj5ymlJkFe0t/QNA+Gqq7I90HTggj9VdPfCg2zN8gt\n0ilQ1VsFTfPy+U1WrdGL4Rm1Uyh1uzNoCBY2vAav6D1KafvQyAEYffIy3kYSDkGHnvrj0FN6xbSx\nHVqhBYOwui+r5krMEtz9Eoy7X+h1oV8vnS51ZkEW4iMecY/TkoTUlRWxWfdwN1N2FIOyqKFZUyI0\nj4qfWWQJVmme9nQUPyckg/478Cdxv2haHgCeJXxTqI2MghzoqtKPLAVc6kw4aYk771VRMnILCzH8\n+kWc7T9MKC3u+SMIs3wJQ9vavDrex0qXAe9cszae/Sb0A6wO7kAXSysccR6IzPx83I8IxdKHPgCA\nTjUs8SKKfnDiN3K80EnwVkgQboUEQVdNHYs6dIaJljYSsrNwM+SbWH8GInwGkBvXChpmHwCIBovc\nXD+oaDgA/DzJC5UxldrQd+m/HTUsDNGmhSVueQdAXY2DDSsGokNr4oZ39/5nBH6LgqfvJ0wd2wUu\nQ+lDoqbVOwZDNWL9eXljL2z71l84ZT/ainlMsjTOjifWEpus30NSYRJHV11d7oxvQWvmY85lT/h+\nC5FaL3DlHKgW/ZBUWCzaPjBh8wBHLL/pSypTtkhOcThsHWQVhDMup6K16S7wwYeZFuHtzAfzsERF\nYDrVn8MlTymqseUXCVFnk6+VzZVvWaKsufLtM4Y1KpmzJABs/HIV/zYZinEv9+FXtvwxzSuaDIHj\nw3V47rAJAAt2fpKj9WHPtuN4h5nQU9XCxxRmYk1VSCd8xiI0OLwHedxCvI75DZvDkoOPTxNnQ09d\nXWZc+9n+wxCTmSGUuH0SGY6GR8iDtCejJ8NST19mW+EzFiEgPgYDrhLLnBn5eVjzVLqML2HkAU0L\nkXiOioZDUVn5f18qraFfteUm6tcxxfE9hIBHUEgsgkPjhEYeAHr1aIpePZrC0/eTzPYERl7AkkaK\nhaCJE7SGOr/2l9Xz8CMhCWs87yMkPhEAC/2aNcDUv9rDVJc+zlMa+4YTHue3A4Nw8sU7hCengM1i\nwa5ubfRv3gg9GpBD9L6sLlma3UEtm0gYenmIyfJBZMZlAMDTqEHQUDFHO3M3iXJd1XpoabodANDe\n/CheRI9EWJo7ySufqjwmywc/045LtGOqZU9a/7erfgn66uQp7/JAW0UbGYUiR548bi44HPm+C3lF\n8s0CtFS0aWpWDGIySi5LrKeqBc+ot/CMeouaWkZ40GO93KPtfjXaYdOXa7Ar8rY/22keRr8gG4nf\n2UlwerheuN+ruvQQUmXTbJHICAbuoL6vKJP93i9w+J5/qV/v+9R5cLhwEiEpkt7wb/+ZAT115g+8\nFjq6eOwyCV3PHZM45v33P3LltW9haoEf0xag0ZG9lEl5VNkqmN66PRa0lx1qWxFg8UswqitFZHZq\nwNiDGDGwLUYOJnKjn7vmj8Onn+DJrcUSdbv03y5zRF+FfNz5/B0Lr4miEe7NnaBwtrqKTHElOHlj\n09d/WYnfOb9knn84dD/epYjyX8+uv0AiE54sAtMCSIl1pKnclfR1lfR8AJjl7Yn9zn1lV6yizA29\n+PXOzRmJ5pYVT53zD0WejOaMqbQjeo+T09Bt0E68+xSJti1q4/DpJ2jXyqq8u/WfQdzI62tq/JFG\nXhmIG3lpOJj3Ihn6B3F+chv6+3HkGZZupqWXrEQaTQ4RAixfphHCM9au1PLSAKoMfSWggQXzzJtV\nVEwqraFXUWGjfh1TvAuIwJegaLhtd0GTBqW7RlxSmi/YjZVDe2B4p9JxBmu+YDc+7Sr9p/3inK8E\nTnjKgsvnKi3HvDh1tIstraQHyt3G13SyyFAD3fIJ5fk8jaws51S3Pg717i9Rb8qdmxJlfyJTj3jg\nRXAEJnRrh/l9Opd3dxgx3bEj3HxfAQDUVSutmaiiiEr9CYb8jKecqq+idHHcR9Zxr2tcrUTtPf0e\nDkNtTYx2u4TdLn3QrbHI6B249xKXXn2ChioHPksmQjzE+eHXUCy+eBfm+roYadsCLp1EGQUXX/CC\nT2AwLI0McXzyEJjpKeb7MMpyLM5Hugv3N3xdjTVN6LPLiROVI12k6U+l+NxjG3PqB/AGRsxVBisz\nL4KpM+ZVZGY42mKGo/T0sFVUHiq1oQeI9XdxxA3/BY/XCIskvHDvPviM1PQcWFsaoXdP6UpMpQlH\npXJLF0SmpCIyRRQudnjUQCm1mTHt5HV83DgHHzfOgdO2E5h79jY+bSKcBWf2tMXMnsQNp8my3fiy\nhZix6LTeDdYm1fB2/SwAQHKWyGu903o3PF81HdtHElETeYWSksZMsTftQTL08hjvdV/+leta9XRs\nSPH0d2Juoo8FM9nSOzFk51F5pHpLm8mt21KWO9WtX8Y9qaIK2dhs2o3gFWU/M1qaVFqr06X/dvw7\nvzd8r8zDvavzcWjHaKiosLF5r0hC1u3UY3g/+AIAiPydjEs33mDLPu/y6jIAID07D80X7EbzBeRQ\nkrjUTLRYSJTPOHodACTqiO8L2ihex3nDcWF5Zq7iGuNUbPN7IjGa71pf/njv4lgY6ArD/m7OHwsu\nT7aDaPs6tfAxQhRbW01bk3Rs0+2Hwn11JWa/AkovB/uShuQHg5tRHhKe9HTcjLpG2t/QTDkhoaVJ\nUxOz8u5CFVX8J6jUI3qnbqKwqMY2Fli5oA92H7onLKuI0/qBkTHCdfRpRzxwaAohuTv7+E0E7GT+\nFNm6Tg2cmjVcotx7pSg5RLulrnizVXraUTqYCOq8XTZTobaL08DCRLitIbYeGByTiOH7z+PYpCFo\na12DdM6e0YQT18Dd7giJS8LSvl0xtnNr4bHkrBw0WUa8BsEsgKKsb7oFqz+LQrYOhbpiet05aGXY\nhrI+l8/F9HcTFLqWhUZ1xOSKHmBmv5+KhQ2W0663h2R+x/Ygsv6+GltNroQ4VZQeC9xlq6tVUUVp\nU6nvBrHxaTA3Jby9N+72gs/DL7h7cW4590o6berUFG6/+xEl3B5qK99ywokZw9By4R7w+HxaB7y8\nAsWnrGVBpxGgCI++/RRu33ovUjYbvv88Pm6Unuv8xvyxAIhpfYGhB4gRvsDAt/x3n8x2pGGuYQEt\nFS1kc0WJc9xCRak9jdSMwQMPKfnJEuceanMS096NlyinY13TzXiW+Bju4SeEZTu/i5Ks6KkS3/f0\ngjTK8zsY2WKi9TTG1ysL5vl44WYwtWIdE717qtCy4bvP4VsUdYImFgv4tF2+76fDhmOITaWP629u\naY5zc6RLUqdl58LrQxD2eD1Ddp5kxrUTD9/gxMM3FGcSyBs2J/6+FKd3q4bY6tKLUTtrLvvB4zV9\nSuiS9Ku0Pi9pr52OO8vGw9JYvoRMfwqV1tD3+Kshhk86Qipz6tYE2lolS9dZ2rwKjsSovwinsbb1\nakqtK23Kmc1m4ePOedhy/SFtndKgnokRPGeMVWqbZno6cN5+EusH98Tyy96Y2p3QOxjfpQ1cDl7E\n9pG9Mek4eWq6ybLdGNa+Gfq3boTV1/wkjq0b4gBjHS3s8HqCOU6dStzHPa3cMP3dBMr88kn51Gps\nh9ueAkuBsNjOxl1xIfIsCniSSy90Bl5ARTPyAHAz+Bsam5iiV936ErkZFEHWTZ7PB1ou2YuP22Q/\n9BdyeWi1dK/Mep8iY9Hx3wN4tZF+FqvzasVTEsuLrPfA60MQfAKCGb0HpY0yP6/o5HQ4bSr9pEKf\nY+Iw+OR54X7xNfvGW/aikCdS1bw/YwJqFQsxbrHdFVv6OmHu9Tu07ZQVlVYwpzLSfMFuHJ42GFMP\neQAAaSR++cUnibC7zNw8dFpxEABgYaiLmJQM4Tnia/PiZeJtlle4nbzMP+eJ3S6VI576QuQZPIy/\nJ7OeuICMuLiMPMIyX9M/Y0/wdtkVAYyu/Q+6mHRj3HZZCubU27+LcRIbKsQNhTqHI3SutDaths0j\nnWFuoIvn38Px70UfiXOljUbzCgrRdjk50UktIwNsGOGImkb6CI9PwfIL3ohPI2eEpGtz5vEbEmVP\nvonkT2sZGcDa1JC2Pwcm0ju2kt4DVY5wtk7wHuhoqCEgIkbiPRhp1wIrBnWnbVec6JR0fAiLxvuw\nKFx+KVITLcmIXpmfV/G2/2pkjYPF3rM5J2/h4RdR3oitLr3RqUFtGGgxT+Rls2k32lvWxNnRwwAA\nnfYeBpvFxrM5k4V10nJyhZlFk7KyYbv3sIQRt9m0Gwvt7TC1U3vG10YpCeb80Ya+zp5d+DmPuMFw\n+XyoUKSflIfmt1cLtz/1Wy+lpuQ5uqoaeO68okTX/1OZd9ZTuOZeEeDxeWjpuRYA4NtzIcw1JcWA\nEvLicS/OB2+S/VHIL4SxugkG1Rgqt8gNU14lPcf7lHcIyvgKNtgwUTeBg3kvtK9AOe+/pEZh5FNC\na1z892HtupPRFD0dxUeE+loaeLZ+OmXd1Oxc/CU2spZmOMTbbVDdBFcXjKat23frKUQkpDBql+4a\nJYmjl+c96L7+CBLSRXkOFFHSK4kSX2l9Xn+tdkNqNuGc2qSWGS7OHUVZb7TrRQRExAAAejarh93j\n+lHWo4PK616WJ74i59BQpYxXEkpq5EtKRgEz7+kqyp/93x8It5e+v4LTdpMk6piom2Kk5RiMtBxT\nJn3qaGSHjkaVQ1e7tKEzGgAkRm5X/QMxtIOk/0u4mNEGINXIA4Dn0n9IBiwnvwCaaiVPf6so0t6D\nB6unKLSGXVoo4/MCIDTyAHB+Nr2/hPusv9FiMZGr4F7gD9p6JWHMuSvwj6g8OhmVLrxumZ9I5rPO\nnl3I53Jx+zuR49c94GN5dauKElCRRvMA0NLQUrjdyaReOfbkz8HadSfln7wwUWmrbqgn3D7zhDrX\neb+tp4TbI+1aUtYpzpAOomRI7VfsZ3ROaVCZlOqU9XkVh82mH7ixS3lQ96+XH15H/EbwivnCPyYM\nbb9OdqVSovJ8Y4rY4uAIAGh9iFi7VlNRAafIwedXmnRHpfKA6RR/FRWHLmY2Fepza357NS78NRVN\nDGrIrlwBKcm0fXHOzh4hs459kzo4/4x46A+Ll4yEKO79vWIQM9+GtcMccM2f3ju9rGDyHlQUlPF5\nlQevI3+jvSXhLH3S/x3pmNfXYDg1FIk9hSYy63PH7o2xZ+U1zNswRHkdZUilG9F3OnYUDV334t44\nyZAlO0tLNDtIPGm7vXkNAHBwPwW3N69RZ88u1N+3R+KcKqqoyFQt+ZBpWN1EZh0NVdGUOpUL0s03\nX5XZpTKHyXtQUVDG51UejD57BVw+H49Dw7D5/hPs6C8KVRzdtiW8g0KQnU+EUPY6wsyRddGWYeVi\n5IFKOKJ/MUnk+ShwtOtV3wYAYG9ljcAZhCTq9HbtMb2dyNtRfLuKKioLI54eKu8u/HH4fQoRbhvq\naEqpWUVFomN9S7wKiQRALJ283jSLsl47sUiKNnXknwXr16Qhdg7ohWGnLiAxKxvuLkPRsXYt4fGF\n9nbg8/mw3XsYrWtWR/CK+bDZJNsnwuPUMxib6aFLr9JJaiaNSmfoq6jiv8SvrIoxlckEFs3aqLS1\neGVO6zMlMUPkkW6iq13m169CMY5OHSJ0MszJL0CzRbsx27kTpvQkdDc+hkdjzP5LpHNOzZBUD5XF\nzgHE6P3KP/QOf4u6dcaibqIICqp1+uJlfh5v4XZrntz9UQZVhl6MDYGeuBz+mlTmWL0JdrRhnoZV\nPASvOIqs+/Z5sIf2Zr+p1RD0rSk7nOtB7DfMe3OB8pi1jjFudpOuGid4TYL+R2enwvn+Lol6N7vN\ngbUOfe5qQTtPnJbBQE0LANDBawNyuGRhmH41W2BjK+ZTXP0f7kN4pqRozYe+a6HCkr06tfKjB279\nonbkZLo2Xvw9+pmZgIEPXSXqNdavjotdpIvaJOZlYs83X1KfBGFrVDD5Xi14exH3YiSnrNe2GIjB\nlq0pzqCm092NyCzMI5UJfiOCz5SK8jDodOhoqCM9h1gSEUy/VlE52DGmDxadEQnQuHq/gKv3C8q6\n52UoGZY1brfmYdn4Y8jPLcCuC/SRCKVBlaEHEJuTBsd71KMO3+gvaB69GqftJlIeLy0exgZh7pvz\nUuus+HANKz5co73Rb/h0G5cj6CU3ASAsMxHNb6/GI8elqKYue3Qz6ukRfE6lDisZ8HAfTDR0cd9B\neo6BjYGeiMpOpW3n9u8A3P4dINOAvUsKx/gXJ2iPtyqKhS9rxzrHezsRm0PtGPo1LRrNb6/GoibO\nGFtHUrFP2oOiIqQX5KCz92ba42sDbmBtwA1491iA6lr08qDSHjgFvxG699lEq2KNmjs1qA3vj98B\nAL+TKp4DbxX0OLWwgVMLG6nhg5tHOqNvm0YlvtZfO48gIZOY/VGG5PfJXT7YcnIShnf8X4nbkpcq\nQw+QjPzlrjPQUM9cuB+ZlYy+D/Zg3HNmsovFb3aK3LhfJ4YJjbyldjV4dpec7rnx6wNWf7yOq13p\nJTlXNu+HyxFvwGax4dVjHqprkm/kyXlZsPfdCgCw990q0yAKXsuk+l0wp2FP0rFRTw/jc2oUEnIz\ncC7sFVys6YVcfKIJz2UNFVW87r2Ksh3B9ej6NOjRfoRmEN7TBmpaeOS4lBRWczniDTZ8ui2zHQDY\n0HIwNrQcTPla5UVwnoGaFp44LSMdExeU2fHFm9LQ031/FPG6F3/Q01PVhE/PBdDmqAuPc/k84cOQ\n8/1dtO/RrV8fSUa+eD3Bb4TuPUvIzqIsLy8W9P1LaOirqFwUcLlovZTIMzG0QzOsGdZTxhmKk5CZ\npdScHh6nnmL8AidcfrVKdmUlU+m87pVNT78dwu37DotJRh4gDG1ZjwjFR/JURh4ABtZqhU/91sNG\nT3qqz0/91uNj37USRh4Aqqlrk0bfi99dltm3pU17Sxh5ADj/11ToqRKOTVs/eyGPJz2hztKmvSWM\nvKCdx05Lhft07QiMvAqLjSdOyyRiZ4fXbofzf00R7p/48VRqf5SJoZq2hJEHgCYGNbBJbEnixq8P\npdoPgZE3UNPCM+flJCMPEO/dp37rwS5a3qAz1Cs/egi3qX4Lsn4jZwYOhbXrToy6fhlu716T/soD\nCwNd0v7KS740NckwrSeOeLx3fmHpJZn6ryAw8gBKzchPOXcd7bcSan0N1+0mZfJsvH4P3kZGofmG\nfRh2VHSfvvA2AO23HsRW3yektsTLj3svwrgeW0ulz7L4zxv6+Nx0AIC6iipMNHRp6zlXb0p7TNmo\nslXK7Frir/l1YpiUmgTSRuq+PUXrsCveX6OtJ6sdQzXRVC9VO+4/RWty3j3pNdSbGtQUPgDs+eZH\nW0/ZiD+oFEfcp+JaROnktQeAp/HBwu17Douk1j3SkVmSInUVxZTgxty4CgB4+fsXtr14SvorL5YN\ntBdu33zzhdE54vUmdGvL6BxTPR3h9udfccw6V0W5csRlEF4vJdbQg9bMJ43qeXw+Tr18hzszx8G2\nDiGsxQew894z3J4xFs9DI5CVn09Zrm2shdP36e8Npcl/2tBfjxSpMN2W4ZC2rY383puKsrutSGSi\n+e3VSM4rm6nPlHzp1+lq1kDqcS2OKHOgXwyzm6csqNrZ8cVbuG2moSdxXJxb3co2e1ct7WqM635J\ni5ZdSUFm+p8Vbquxpa/QtTeuQ3tMnt8I3exS2OyFtH/lhUvnVqT9vmJKeVT030aOlZ7f5y9G15nq\n0EG4/TG89D7v/yL26w7j6bcw8HhlG3y//+/+qGWojwU9CK97h70n8HbZTJjp6uDW9DHovue4RPnq\nJu3hPM8Vz3w+45lP2Ysu/VFr9IG/aqJZLeb6w+KOalSJS8qLNkZWWNW8H/5XtMYsWEefUr8rZjXs\noXC7oRkJ8E8MxcfkSETnpCEtPxsJefQ5uIszoFYr2ZWURP9aLWk94eXBUg7Dqwym2dgzrlvIk0x5\nWxqUxMFPnt/IKGtbrA2QzOBWUQncMV/o1BWRkIJmi3bD3EAXW0b1Qm0TA0QmpmL5eW9Ep6STzgvY\nzjxEamiHZlh3RZTtsNmi3ejc0ArLBthDlaOC+LRMvPsZhXuBIbhAk6SlLIhISEFsagaCYxMREkOO\nYFl67i7MDXRR39wIdc2NYG6gC0Pt8tEf8Fz6j/ChLCkjGzMoMgaKY21aDbeWjJNap6RwxdLVAoD/\nkukS5W27NIDlymvofLDsZobF+aMMvbxQhWRVFIbVbof7Md/wIkGUlOFIyGMcCXmM4VbtsbIZc334\n5e+v4k7UJ9kVZSBr9KxMLLWNyuxaysS0DN+jskCe30gtbfoUrFRc+fYZwxqVz41PwCznTtgvFp4V\nm5qBfw7S+6q82zJHbi11HQ01ZOaKQkifBYWjb9ApuftaGjBJfuP1IYiy/O2W2VDnlK0JqW1iiG2j\ne2PJWS9G9cPik9Fs0W6FMvgxZXWf7njwPRTdG9QFIMqUWrzc/fHyUuuDLP7Thl6Ww1h5c6ho7TQo\nPRbDHx8Ull8Of43L4a+xtsUADLZsQ3v+2oAb8IgkJ4loWc0SA2q1QkM9cxiqa6O6pgHjER9POdmD\nGcFhEP9eEdEp5vBWEZA1dS8NeX4jWipqsiuJEZKUJG93lM7Unh0wtWcHuLhexKei1KZUlGRk+HLD\nTCRlZMN+Hb0WQhWyabV0Lwq5olHycNvmqFFNT+hMChBCOu/CouBfpKAnYPFZL2wf3btU+tXNpg78\nvv1A551HYKytBY+pLpTlnBOhmLVmIDgcFXR2KtsH3Apr6FOyriIqeSGa1ooAABRyE5CRew+G2iNJ\nU/TJmWdQTUcyVSiTafx6OiYISo9VfueVTEM9c6FXs3f0Zywp8o5fG3ATawNu0no8ixt5ZUQOhGUm\nooVhLdkVlcD3SvC5VBbe9lF86l6e30hMkXYAN5eDb4kJaGRM6JzTedc/CP+JFZ27ymxX3tHY/D6d\n5c77fq6UE8UY6WqVaFQp77lM65fGSLc0Pq8WS/YI1+KvLBjNSEM/IycPnVYRAyTvj9/lNvRUoXVB\na+bj/ttg9GhrIyy7/zYYDm1t4NBIMtOlQ6N6wvIhx9fCzqEJVNXK3uxW2GGTofZQ8CFaw/wZPxiG\n2syUjgJ/1YSV8SmZ9doYWyvavXLDuXpTBPSTne5w51cf4fbxTpIJgBThXVK4Utphwot45eSR5pfh\nLMSfiDy/kY/JxCgqJ04LQ6+KlBiLe9oL/kJTKo+8b0XA6swW4d9/DYGRr2mkzzipj66mfLNrXae5\not14keKn+LbjHDe0n0DsJ6Vlo8esg4hPycCEDRew7IAno/azM/PQv8Uq9GpU9lP4FdbQA0Ad0yvI\nLwwHl5eOvELZoV8AEPirFhpV/wBdTdkxlosbOwu3V328LrVuUBr9tF5ZwwILp+0mSa1zPuyVcLud\nEf3NWh5DeFOOuG/xEDlFSCvIoW2nhzlz1avJL5lllqroyPvA0s28oXC7JE5/8vxGBGGPOrXT8WWa\nyEP/7ybNKD3uBzdsrHC/KiPOt5mJbtERPmYZwsdI6jP8l9g/YUCptf340Gy8OUkdruu1eypa1CME\nqzTVVXF//wz0WXAUJ1aOxJaZzPyl7n7bjObt66BZu7IfYFZoQ6+tbovvMZ3xNaoxGlhQ6xmn5/iQ\n9pvV+oVv0a2QnCVdPhYA2CyWUJ/75q8PUsPLhj9xk6PnpU9MTqrU4/V0TRm10+L2GrmuK82r2vbu\nRuH2A0fpMrjS2knIFUUCULWzu51oZqelJ33/A1N+43XiTwCgVKGrTJwP85er/t52Ig/u1ndkzwDR\nIe54Js+DnjhtLagV/RoY0edF+BMJSk0o7y5UerLymOcmUCTlbVQCtSQym83C0RVEzhMtDbKehJ9/\nMNUpEvRrvhJbT0/GNvcpsisrmQpt6AmIG40ax5JUml8YgdRsD2TlSd4Am9YMR1TyEkate3YXxVl3\n9aFWLQpMYR6ypwymvXKX6QS17P1VqcfH1xPF+W4IpJ5aUkSZrbhzn4ACHhdZRclOTDR0ZSaT8Yh8\nj9u/Ayjb6eG3Xbgvqx0eny9cGy6Oy7Mjwu1FTZwp61QWPCneK1mIv3fSkuIAhP+FuAKeOALFQwD4\n9wO1EJKd9ybatoc2akJZ3qmWJWV5ZWTVa1/UP7cdrS7vxenv70jgGCWbAAAbgElEQVTH3D6/Qveb\nxHeRavq9l+cJDPc9J9GmIlP0BTwu7Dzc4HDrGAKSKs4spLJYc5m5OqHdapEDM9N0xDVMRCGkgtH9\nhpO+SEzNxPrjxKBSsD4vOM50RD/vf4NxxvUe3PeVnXiXABZfkcee0kfYqYyc+9BQawJVFXNp9UtE\n7/u78Ts7hVTGZrHB44s8PGtqGZLqUDm3dfHZgtT8bMbXNdXQo1Qto/KCL94fAS7WHbG0KbWTSfF2\nOpnUA4vFwvN4UT7uOjom+JkpGmlQvS5BO5e7ziB5/9NB5/gnaKepQQ2hnr0AFRYb3GKv74XzCuio\natBeZ+BDV1Lf6bjadSatmMu+oHs4FvKE8hgd9xwWSYTRyaNJL/65yHKSTMrLRDffbaQyDluFNB0v\nrY2NgZ64FM5MarZ/rZYSmv8CmERmPHNeLkygoyzZ6KeJD+Dx+zyqqRmhi0lPdDVxIB2f93EiZtdb\ngro60sWcShOrM1swr3lnzGvRGflcLkbfv4jLji6U9eim3osfG+B1GgFJMZT16dqJz8lE+6v78X3U\nIiTmZsHOww0TGrXD6raKa28Ux0nDBT65kg8lpU3xMEBpDn+H/fyx34c8A1wSp8O45AwMWHwcUwfZ\nYnzfDrJPKBnyxW4ypMJ63Rdy48FmayE8cZxcIjiK4NVjPnZ+9cHp0OfCMnGjOsKqA1Y06yPzZieP\nkQdE8rvF0VfVFK5RU/VHgKyb6ad+60l9Fo/JB4AFjZ3wT107/PvBA7d/yxanqalpINGmOOpsDt4w\n8PD+nBqFT/3Wk1KnFjfyTFLM3ug2G4/jvmP2a+obj5G6Dh44LgZLym8nLT+H9hgdhTzJz6K0MFLX\nwWm7iaSkSvKsuf/brC+WNe0tTF4jjXmNHGmPfeq3XuI3Is7r3qugQSOR6x0agpUP7yE5J1vC00Ca\nOt6jBF9c/uWOg63PIpebi1we9WelrlI+4i3iTGlCGAA1FRVKI88EPkR3+YCkGIyq31Ku89tf3Y+w\nMcvAAlBDWx/hY5bB6swWpRr68kJc3AhgFv8v4PWmWSW6tlk1Xbw6XvI88n932oBLL1aWuB1FqLAj\n+pDY7sgr/IlG1T9BhV12IiRbPnvheuR78MFH7xrNsbZF6Tl/yMI7KhBXIt4iPCsRibmZsNDSh7WO\nCRY2dmK8Bg8An1N/Y/XHG/iZmYhqaloYad0Bk+vLDmsSIDDsV7rOQIOipD+3fn3E5Yg3+Jz6G22q\nWWF0HVuSA5i0dgDRQ0piXibmvbmA7+mxMFTTwvKmfWS2Q8Xl8Nc4GPwQudwC1Nc1w4ZWg1G7koru\n0HEx3B+nQ18gLjcdhmpa6GnRGLMb9mQcu59VmIdVH6/jRcIPFPC4sNQ2wt9W7TCwVmtaI03VxuzX\n5/AlNRraHDUsauKM3jWaSz3H2pU6BTQg3dAvD5yFpvqt4GJZtimi5cXx9jEEpyZiXovOmNecPkxM\n2oh+gNdpNDQ0xVbbXjLr0h2jm+pXpgNfeY3oAUJoaPox6Q6h4rDZLARsK7mBVha/wxJw/fRztLKt\nJy2OvlRG9ODz+RXxT6ncuPtB2U1WCn6kP1JKO81ureI3u7WK/znlt1LaaXZrlVL6VRnxffClvLtQ\n5jQ75KrQedPfufC9Y24puTelh/2Nw/za7pv5Vu6bKY/Xpikvfnzb+0f8YT5nZdaTt315iP+VyHdU\nH8V3VB/FT01IE5Y7qo8Sbjtpukict+vOUz6fz+eP2HdeWNZ6+T4+n8/nfwyP5jdZvEsp/bvy8hN/\n6M4z/A4r9vObL97N777+CH/8wcv8a/6BSmm/HCkVm1php+7/NKa+2YfD7aQnBZFGl/uL8aQH4aTm\nE70WNbRaoqnBQORy05HHTcfDuB0YWGsPAD7O/nTB6Drn8SRuD3j8QvDAhS7HDNocI3hFrcRI61PK\neVFVyMX/tnni3qOv2LBd5Bz52EvkNDp26nGwWMDOjX/D2EiU9SwmNg3jZ56EmYkuTh8ij273Hb4P\nL99ADOjdEtMn2pOOjZ16HHEJ6Th3dLJEe0vXXAWLBbna23f4Pu74fJJoTxZOdevRjuqpRvT7f4h8\nEl4mPUZI5jcAwKx6ovfqVdIThGYF43niIwyo/jeczPuR2pjxfjRm11sG1x9boKeqj/QCwmHzYGtR\nsp/vGV+xN2QTVFgq4PKJ5ZB9rU6Bw1LstvhwAOFNXZI490kPr+Le7x8Kj8IDk2LRzKjk/kyj680R\njtypRvEDTSbCO/usxHn5XOJ9ZLGANitc8W7TbOQVpeeddPQafJYrZ3ZmaMdmGNqxmVLaKisuHn4I\nbiEPPC4PY+Y4yD5BiVQCr3tm7DlyH31cXDFuzkmZdbsMEHl13/T+KCwrKOTCecReAEBfF1fwipY1\nHIfvwfYDPhgyQfEQOyoj7xf7HjejXsrdVj1dezQ1GAgAUGVr4PqvOYjOJryyn8cfhBqbuAl3MpmG\n+no98CzOFd7Ra3AubAxS8iMUfg1lzeQNF0t0vov/ZKXVj86Jlbs9ALgf/1i4PXNyNwDA9XMzhX8C\nuvbehl4OTeHQvQmGjCE7PI6YcBgbVw2CQ/cm6NZX9N29/+gbHj4JwsZVg+Bz/zPevA+XaG/TqsGU\n7QmuJU97D58ECdsTPyaLq9/ky2Q4q94SoVG3NepK2hfQ0agLXCyla0m4/tiCg63PYkuzAyQDL2Bv\nyCbsanEUrq1OC4/P+yi/IZJn8VNgCKloa1oT934rLhTV36ox+nmdIpW9ioukrlwCnDVH4+Rn6gc3\nSyMD2P/vCM7PGolLc0eho5jn+96x/VDDsOTLsE6Py246ft6HPUq73gW3B3CZ2aPMjTxQgZ3x5KHL\ngO14dGMR5k0pmdPJqi03sW/jCCzb4AHPc7PRf+wB3HKfidy8Aiye6SS81pObkrHdQem/0FCvFmnk\nPfDpetz4azW63CfqC8oB4N9Pp/E0gUhXuDPIg3TsR2Y0Nn25hKT8dMy1GYjuZkQO88zCHEx7ux+m\navHY1doeAOARORtDLN1w5ich4ZnDTcNwKyKU53mCG9hsVfxlNhcaKrrQVTVHQi6zmM+ywm7iXjw/\nToQ4zt5+Da0b1sT4fh3QY8ZBZGTlCut1nrgXT44RCUXm77qO7xHx8No7FfZTXZGdW4DXp+nz0iuD\n6prmONfhaInaqGaoTfovYPGqK+Bw2Bg5lHDoGtq/DZav88DmNYOxeNUV+FyfDw11VbRpWRvH3UU5\n3Ndvuy2cEbhxfha69t4m3Bdvz8djPmV7AHDc/anwmKz2BA8mPh7z4TR4N2k2Qhraamr4PHX2/9s7\n83ib6i2AfxfRzVDGrmvIPKfMQ8LNXKIilFJSPbpPj0geGvSUhFcqVKQRleJVGlCXS5IhQ71wo8Iz\nK1Om2zX83h+/fc7ZZ99z3HNwXU7r+/nsz75n/dZee+3fuWev/RvWb0dfYWdIpfyZL8gT55rId03h\nRBbvSYn6PGU9LfhO5UKPv77T8jYqTQv8zr2t9g/b3EmZd0ZSvVDGDJGnV8xj0tpA9oS718Bn58Um\nHdiTdiSorEOZajSMP7tpjLOPTgk7Vl84fx5SHrM9GxXiC7PkX0n+sn5vz2LZU2c2Me5cM7ZWv7MW\n6NP/PJ5hVbwv1j1zVmxnRkwEeiDqN0qFomGdclQqH0+juvb93PsPRD6LftIvs/l3rftpGV+LXWn7\niY8rQP8qNlVpYYvR/mDv4+mr7qZp8kAGVOnITSUa+eWr9/3KFzuW83qDjOkgGw5uZ0rDgRgMdy0Z\nw9sNH6ZzaZsfnVR5PgBxOQNPzD0rZFyUpmDu0hFfU1bTImkC30zuS6u/T+DL8Um8NLATX6+yC9wk\nT0ii/t12ycnWfV4m/fgJrrlnLEvefIjn+9/it5Hy6qkDyP5jB+i76p+MuupfxMcFls58cu2zbDy8\nmRdrPsulufL75e9tmcGcncncmNCWTiU7+GWzts8GCAr23Zf14oZirfly13zaJbT26wP0WTWQugVr\nUj5f+He9+1j93y1Urhjobo2Ly8WKVZv8Zb6gDFClUkKm9oCo7PnKorEXDYfT06Pquj9bVM2fedfu\noz8G38QL5Y5+EZ9Iu9mbJJSJSPezdhmXrB5apzlD6zTP9Niprc7Omv3Tt75MmzibPTBt47gM5XPS\nptIm7g4+++MtLnKt3d66RsWwNs8kyO9I28P9y59hSsNhQfK2Cx5iTM0H+ecPEyibtzgv1bYP/F/u\nWsbYn97n+oRG9Kl4a9AxD6wYzd4/D5BUsRPNitaizYJ+zGk21l/u/RyKYWsms3zP2pD2w3Gugnoo\nYqbr/nT5fe8h/99n8qywfK9tKd9cshHTNtvZ302LRv+GopHrpjO4WteQZbUK2tcdCsKmw7tC6uTO\ncWZLz55LKpWygbd8ycDNde3GjC9QKRVfgGVv9WfJm9Hnwo5KfYHX6r5I/++H+GXPpo7l2iINebXO\n8zywMrgnoEjuwrxWdxwzt83yy24r1Slka/6kOUnRiwszosbjQfr/WDWInmXupHbBmkz6NfMleOvV\nLkPq+sB1Hz2aTu2apf1lR48GXnGauj6yRVCisecri8ZerPDUlWMzbNnFq2uiW/0wK7msyKXMSZvK\nnLSpFE4IvH7Y3YqfkzY1KMhnJT2WDmdm42d4ePVLQXKDYcbW+UyqN5haBQMvmpm7cxmzmoxm1vZF\nPLPubb+8zYJ+dCzZjOE1epH3DNIyGxep4bd/IRATLfrm11YhadA0HunThl2//UGD2pmvJbxt537W\npG7n/Y++495umb/pavmqTRw7foKihfOH1flh/0auKlCWPismEJczNw9UaBfVdQD+SUGnS/0iZ+cF\nNm7O1uInXjsvD+4MwCuDu/hlvTpmXKp28mORvcwoFCNq2JS+lvGJAT8OrGFQFduSa5fQJkjfp9ez\n7J0R2Q+lvyd9L7UL2uGWm4oHL2Z0+631uSfpDR5KakXqhh10uaUeIx7vyHXtRjN1un0/wcQ3F/q7\nxUc83pFmN4ziuRFdSV2/w/9yD4DRwztzc7dxPPZIe4aPmsWTgwOpoOakYer0JVSplED/Ie9nsPe3\nHk0B+7KQkcM6RWTPV9Z/yPtBZZmRla32WKDMOyPJKcIJY047Bz/WaVe8Mblz5OK1eoMzdKU/Ud3O\nq+hZNrBC3eirbe/BgMrd+PdP0xhc9S56LB1O4uW1aRVf/4z98dkYULlbJprnBzER6IcNDMy4LVMq\nY+70TW2DF57wjbGXKFaA1onVgmRufbesXq0yAFxTr3xIH+oWqsio1A+Z0nAgRS++jI+3fptpoG9Q\nuDLjN3xK++IN/O9U/qDxUJomD+TR6rdTLl8xxqybwSv1zv34ZnbT+N4XmPNS77Nmz4RZL6LbFZF1\nu50uOSVn0OfePRPp3TMRgKuuLOmXz/8s8L92R5eGQcf4gnSdmqWDyurXKctH0+wNzbcPZc87lu7+\nfDbsnWu2HNlE6sE1bD+6BYCle7/m8ImDJMSVpFHhphHbGVRlOEkrgx/oil4cz5PVw+f9ZwV/9RfV\nREKOKNLLX1g/ndk7l/BF0+c4djKwNv4JczLTRbgitV8uX3HaF782yP75zF++6/5s0b5EQ/53eDcA\nt5dO5MgJu+77qz9/7h+fb5o8MGisfnTN+2hUpCrXLwheTW5S/b5M25xC/1UT6XpF5DeuWOKbyX0p\neGmeM7azJ92+CtU9+/1cMmvHF9ly3lhm+b7F/Gfbuyzda7tNd6Zt56tdn/PO5omZHBlM6Txl6V/p\nUUpccgUX54ijY4lu5zzIK5Hx6Xa7IuP+Y4cy0YS5O5fSsWQiADO3BX73/Sp3JXnXdxn0r8gTmPy4\n8XDmQ2Nzdy6lffFrM9g/r8mqBP0z3M4rmnQYld0uKKfBgysfMfvS95u7lvY2O4/uDiob89NLpvvS\nXua1X9/2y7otuc//91e7UoLk7u3o8bRT6htjTNKKAeaNjVNN+on0s3pNivJXZMuR3eaGBf3N/vRD\npk1KP7+8dUrfkPpDfnjFdF/yZEidXstHms7fDDULdq8Mkt248GFz8NgRv/5rv3xiWqf0Ddp83Lb4\nMb/9s0yWxNTzdgnc7HZAURRFUc4xWbIErnbdK4qiKEoMo4FeURRFUWKY83XWfda8wUdRFEVR/mJo\ni15RFEVRYhgN9IqiKIoSw2igVxRFUZQYRgO9oiiKosQwGugVRVEUJYbRQK8oiqIoMYwGekVRFEWJ\nYTTQK4qiKEoMo4FeURRFUWIYDfSKoiiKEsNooFcURVGUGEYDvaIoiqLEMBroFUVRFCWG0UCvKIqi\nKDGMBnpFUU4bEekhIkZEemS3L1mBiCQ61zcsu31RlNNFA71y3uHcWE12+6EoihILaKBXFEVRlBhG\nA72iKIqixDAa6JULHhFpISKzRWSviPwpIutFZKSIXObRe9cZFqjokb/lyJM98vwickxEFkboRxMR\nmSUiWx0/dorIEhF5IoRuHhEZJCLfichBETkkIutE5EURiffoJojIeBHZJCLpIvKbiMwUkToh7PrH\nzEWkrYikiMgB71CIiFQRkTdFZItjc5eITBORymGurYKIfCAi+0TksIgsFpF2kdSLy0Yvx7f7PfJ7\nHPkREbnYU7ZURNJE5BKPvIuILHSu7aiI/FdEBnuPd3Q3OdulIvKc8/cx97i7iMSLyGSnHo6KyGoR\nufsU11JORCaKyM+O/l7Hh1dEpHA09aIoWc1F2e2AopwJItILeBk4DHwA7AYSgUFAexFpbIzZ76gn\nA7cBLYANLjMtnP01IhJnjElzPjfD/kaCHgDC+NEW+Az4A/gE2AYUAqoCScCTLt2CwHzgauAn4HUg\nHSgP3APMBHY5umWBRUBxYB7wLlAK6Ay0E5FOxphPQ7h0K9AW+AJ4BSjt8XUmkAuYBfwMlAQ6Ojav\nM8asdOlXBL4FCjv2VgMVgI+cz5Hiq8cWwCSX3Ff/lwCNgBTnvJcBdYCvjTFHXf6MAAYDvwPTgEPA\n9cAIoI2ItDbGpHvOnRtbf4WAudjvaaNjrwiwGCiHretFQAK23uZ6L0JEEoDlwKXA58AMIA4oC3QH\nxgF7Iq0URclyjDG66XZebYCx/5qZ6pUG/sTetKt4yiY4dia6ZOUc2QcuWWVHNtfZt3CVPe/ImkTg\nywxH9+oQZUU8n6c5ui8DOTxl+YDLXJ/nOLpDPXrXAMexASWfS97D0T8JtA3hS0FgHzZIVvOUXYkN\nmis9cl/d9PXIb/J9V0CPCL/bzdiHMXHJtmMfAk4Aw0PYf8wla+TI/gcUc8kvwj60GGCI55ybHPlX\nQN4QPk10yp/3yOsCx5yyYS75g6HqwynLC1yS3b8h3XRzb9p1r1zI3IltqY0zxqR6yoYCB4Huvu5c\nY8yv2Jv+dSIijp6vNfk4NtC0cNloge0pWBKFT0e9AmPM776/ReRyoCuwA3jYGHPSo3vIGHPA0S0J\ntMYGtVEevcXY1n0hbEvcy8fGmNkh5HcBBYAnjDFrPTZ/xLa0a4lINZcPrbCt33Ee/Y+BBSHOcSrm\nAUWBGo79atjW84fASjLWPwT3qPR09k8ZY3a6fDkODMA+4NwX5twDjDGH3QIRyQXcgf1fGeYuM8Z8\nB0w9xbWE+q4PG1fvg6KcD2igVy5kajv7ed4CY8w+YBW2S7WKq2getgu6pvO5ObDDGLMEWIETXESk\nKLaFu8gYcywCX3wBYakzTtvVCZJe6mF/dwu9QScEtZz912F8mOfRc7MsjM1Gzv5qERnm3YBKTnlV\nj+1FxpgTIeylhPU+ND6ffUG8ubNPdsrqiUh+V9khgq/lVN/5emArUFY88zOANOCHEP5UAfIAq30P\nWB5SQsg+cfwaLyIzRORvIlLd9fCoKOcVGuiVCxnfzXxHmHKfvIBL5h8nFpEcwHUuWTJQxwkSzQEh\ngvF5AGPMTOBG7MNFT+A9YIsz2a6VS9Xny7YIzJ7O9fnYGUIG9iEH4H7giRDbDU55Po8Pu8LYC3ee\ncLjH6X37rU6QTsZ2wTcTkWJAdewD0XHX8adbJ7uNMaHWZoj6+owxm4H62HkOLYFXgR+BzSLyjzB2\nFCXb0ECvXMj4WmDFwpQnePQg0BJsiW3VFyIQfOYBObHBv4VHP1OMMZ8ZY5pjx8FbYMf4qwOf+rrC\nAd/EwBIRmDyd6/O7k4nNq40xcortLY9+fAhbp/ItJMaY7dgJiE2dIZVEAvW/CDspsSWBlr63/k+3\nTjKrj6iuzxizzhjTFfvgVBf4J/Z++oKI3BvGlqJkCxrolQuZVc4+0VsgIgWwgTwNWOeTO+O6a4Em\n2FnpEAg032An97XABhpf939UOOO084wx/bEzwXNjZ4WD7YY+iQ10eTMx5Tv3tSISKkPmOme/MkRZ\nOHzzDZpEqO/2IWeI8sQozu0jGcgPPIBteScDGGOOOP756t+nG8qfDOcVkQrY7IGNJpBpkRmpwBGg\nZoju/pDncWOMOW6MWWGMeRa43RHfHOG5FeWcoIFeuZCZgp0V/aBzk3czHJv+NMUY86enbB52XLYv\nsMEYswXAmUT1LdAFm+qW4p0sFw4RaRomGPtaikecc/yG7dZPAMY4wwduO/l8AccYsxX4EigD9PPo\nNQC6YR9G/hOJjw5vYHsVnhCR+iGuI4eIJPo+u3woC/Tx6N6ETUGMFl8rfbCzT/aUXQl0wGYUfO85\n9nVn/6gzj8LnS05gDPaeNjlSR5y5D1OxDx7D3GUiUhc7UQ+PvE6Yh4Kg71pRzhc0j145bxGRN09R\nnGSM2SQi/YDxwEoRmQ78hg0+jbCttUEhjk3GBq3LseOs3rJE19+R8iJQQkS+wc7sT8fmgDfHppS9\n59Ltgw1mvYFEEZnj6JcF2mCDXIqj2xvb0zBaRFoD3xHIoz8J3GOMORipk8aYPSJyK/bhYInYRYLW\nYLu2S2HrrTB2EqOPv2MfgMY6PnyPzaO/BZvS1j7S8zvMd3y/HEh1uvN9JGMDblHgQ++4ujFmsYiM\nAh4BfhSRD7GZEdfjTJ4ERkfpzxBsL0I/J7j78ui7YvPkO3j0uwO9RGQR8Av2Yas8th7+BMZGeX5F\nyVqyO79PN928G4Hc7FNtBVz6rbG53vuwN9qfseloBcLYL4BNpTNAZ09ZI9c5qkbhcxdsutsG7Izs\nP7ATtJ4GiobQz4tNAfwB2wI8iB1SGAtc7tEtgc2534x9IPgdu1hNvRB2exBBXju2l2Cc42+a428q\n8A5wcwj9CtgUuP3YwPot0C7S84Wwt8I5brxHnsupPwM8cIrjb8MG5IOO/2uc+owLobsJ2JSJP8Ww\nvQW/YdPmVjvXlkjGPPoGzvfxPbDX0f8Z21tyZXb/fnTTzbuJMfqSMEVRFEWJVXSMXlEURVFiGA30\niqIoihLDaKBXFEVRlBhGA72iKIqixDAa6BVFURQlhtFAryiKoigxjAZ6RVEURYlhNNAriqIoSgyj\ngV5RFEVRYhgN9IqiKIoSw/wfyDqCfeXZVrQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1279a9f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(reviews[reviews.overall == 1][\"summaryClean\"], title = \"Low scored words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yX0lF0rwuOhb9a2FuQrnOZNDBZNDJttIuNmRb47pii8jFG+90ougZDDpCQidQ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4ycAqaRX+9sK6B1zSCpgOXRKigv5roekfON65y6PGHQnF/sBQCUVJThcq9VOJ8QhP5BqwEAqcXZ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\nY10vZrxqngUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b797190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(reviews[reviews.overall == 5][\"summaryClean\"], title = \"High scored words\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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b4L5w8T2JBVduilW8/PLl4cjoIZj832U02bgbH5bOESuvwGDgywov9NxzDPGZ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\nGOvoLRaLxWLJw1hHb7FYLBZLHub/AHN8hrxSQCFpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127f2ddd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(reviews[reviews.overall == 2][\"summaryClean\"], title = \"Average scored words\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Multinomial Naïve Bayes learning method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = MultinomialNB().fit(X_train_tfidf, y_train)\n",
    "prediction['Multinomial'] = model.predict(X_test_tfidf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Bernoulli Naïve Bayes learning method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = BernoulliNB().fit(X_train_tfidf, y_train)\n",
    "prediction['Bernoulli'] = model.predict(X_test_tfidf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Logistic regression learning method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "logreg = LogisticRegression(C=1e5)\n",
    "logreg_result = logreg.fit(X_train_tfidf, y_train)\n",
    "prediction['Logistic'] = logreg.predict(X_test_tfidf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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P9euFm28W+vQxm4jnLSLi5HnZyz2XcWL/1OtuCRSpGakcchzikOMQhx2HT352nvzscd9d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\nl1dmGu0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127b123d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def formatt(x):\n",
    "    if x == 'negative':\n",
    "        return 0\n",
    "    return 1\n",
    "vfunc = np.vectorize(formatt)\n",
    "\n",
    "cmp = 0\n",
    "colors = ['b', 'g', 'y', 'm', 'k']\n",
    "for model, predicted in prediction.items():\n",
    "    false_positive_rate, true_positive_rate, thresholds = roc_curve(y_test.map(formatt), vfunc(predicted))\n",
    "    roc_auc = auc(false_positive_rate, true_positive_rate)\n",
    "    plt.plot(false_positive_rate, true_positive_rate, colors[cmp], label='%s: AUC %0.2f'% (model,roc_auc))\n",
    "    cmp += 1\n",
    "\n",
    "plt.title('Classifiers comparaison with ROC')\n",
    "plt.legend(loc='lower right')\n",
    "plt.plot([0,1],[0,1],'r--')\n",
    "plt.xlim([-0.1,1.2])\n",
    "plt.ylim([-0.1,1.2])\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize the accuracy, recall and f1-score for Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "   positive       0.96      0.92      0.94     29561\n",
      "   negative       0.99      0.99      0.99    225143\n",
      "\n",
      "avg / total       0.99      0.99      0.99    254704\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(metrics.classification_report(y_test, prediction['Logistic'], target_names = [\"positive\", \"negative\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.98621929769457883"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, prediction['Logistic'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LwCnA4ov+55pZI5wGaa8Mo0H+HhHfq14ZEWcCZ3aw/g/ARh0dKCIOqXpcfbV1Qgf7fA74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\ngIO1mVkf4GBtZtYHOFibmfUB/x8aqYfxq9ifawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127abf410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PVVj/ALBTD/k2s34kwZAhzQ+S1bRCEDUzq6gFCppVOYiaWctqhep6NU0NohGxSjPPb2at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\namZWBwdRM7M6/H8mYll300vbnAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127b12f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_confusion_matrix(matrix, title='Confusion matrix', cmap=plt.cm.Blues, labels=[\"positive\", \"negative\"]):\n",
    "    plt.imshow(matrix, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(labels))\n",
    "    plt.xticks(tick_marks, labels, rotation=45)\n",
    "    plt.yticks(tick_marks, labels)\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    \n",
    "# Compute confusion matrix\n",
    "matrix = confusion_matrix(y_test, prediction['Logistic'])\n",
    "np.set_printoptions(precision=2)\n",
    "plt.figure()\n",
    "plot_confusion_matrix(matrix)    \n",
    "\n",
    "matrix_normalized = matrix.astype('float') / matrix.sum(axis=1)[:, np.newaxis]\n",
    "plt.figure()\n",
    "plot_confusion_matrix(matrix_normalized, title='Normalized confusion matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize the accuracy, recall and f1-score for Naive Bayes Berrnoulli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "   positive       0.59      0.53      0.56     29561\n",
      "   negative       0.94      0.95      0.95    225143\n",
      "\n",
      "avg / total       0.90      0.90      0.90    254704\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(metrics.classification_report(y_test, prediction['Bernoulli'], target_names = [\"positive\", \"negative\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.90240043344431187"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, prediction['Bernoulli'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ihbqmR8TYiBg7dLPN2toUMyuTg3VZIwTrrQuvtyHNP/skKWACkNMSmwJPAETEeRGxO7Aj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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127abcfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jaQlgdF7v72AAeZyo9Yok5R/uesCvgJeABcDvgAsjYkZTMzhISOqKiIX5ezgb\neIE0Wcf3IuLK5uZucHFJ1HolB9AVgcuBsyNiU+CXwFeADzY1c4NIDqArA1cDFwOfB34OXC5p/aZm\nbpBxELW+GAncFxGn5fcHAb+PiGskrSxpWBPz1vFKTSfAesA/IuJ04HlgL+CiiJgmadmmZXCQcRC1\nqkptbLntbQSwHPBhSWtI+jPwWEQckNvlDgbGNjG7HavQ1jk8//smsEDSaGAq8FRE7CtpJHCkpOWb\nkc/BxkHUaiJpFKkKv3pE3A5cD/wNeCIi9sjJzgE+DLhdtB/kppRlgRskbQo8AawN/AOYGhF75aRn\nAmvS3pM7tw0HUasqktnAXOCkvPpC4EZgKUlflHQpsC7widxe5/9b/WMI8AgwISIeBr4FLAPcK+lz\nkn4BrA/snb8H99T3M/9Ht0VIGlL2b/FH+B1S9XH9iLglv78ZWJ1UKt04It6SNDQiFg5szjtT6Xso\niYgXgHuBEyUtGxFXALsD44GNSKXTDQvfg4ff9DMPcbK3SdoW+BhwXK46jsvv74qIR3Nb26XAwxHx\nlW6OMSQiFgxcrjuPpM+R2plvye/XANaIiBsKaa4mBdPjI2JBachTYbu/hwHikqgBb5c4VwQuLZRe\ntgP2BybnH3YAXwK2lbR1peP4h9sQKwJvFd7vAFwr6XRJB+V11wHvLaRZpNru72HguCRqbw+gL7wf\nB+wB/B+wEPgscCCpo2IGsBRpiNOpTchux6rwPawDjImIWyV9ANg1L/8GfkPqyPtqRJzVlAwb4JLo\noFZq7yz74Q4h9bBvDxwHLBUR55JKpD8mdVrsTyqlWgOUOuEqtF9uDdwi6eMR8XdSp95mpDGhmwLD\ngI0HMq/2bi6JDnKSlgJOj4gDJU0AjgS+BuwGfILUE3x8RMwr7LMDaXC9q4wNImlJ0jW/gDQ86cCI\nOErSscBRwM4RcWMh/YrAVsCvI2J+E7JsmUuig1S+ZRBS+9saku4A7gQeiIi5pCFM15F+0MfkHzkA\nEfG73JkxpPy41mc7AP8F/A9ppMMjABFxLPB94Jrc8Ude/0xEXBIR8yUNbUJ+LXNJdBCStDmwJ3Bk\nRMyRtB1pApEHI2LtQrphwL6kqvss4GsR8UYz8jwYSDoKOAW4OiJ2Ldt2HCnI7hkR1zYjf1aZg+gg\nJGktYEFEPJwD5XKkoPpRYBSwQ0S8ltMOJd0bPw74lscdNp6kYXlc5/6k9ugJpFrAZRExs5DuZGDT\niNiyOTmdOet1AAAJZUlEQVS1ShxEBzFJY4Hvkn6sN+XxiGeR7orZNo8VPRC4It+x9K4eZOu70ljO\nUhAtrD+UNJnIr0nTC74gae+IuMjXv/U4iA4yxUHZkiaSqo8vAxdHxB8KgXQs8HdS58XK7kRqrEIA\nXYf0h+x14MWI+FrefggpkN4KfAhYAtiydCunA2nrcMfSIJJ/uAslvVfSRyLiIdK91wL2k7RNRDxK\n6iW+GpgJrFq6I6aJWe84+ZquSwqSzwB/AbaSdFnefhZpHGgX8CywjQNoa3JJdJAozIS+PnAD8EPg\npxHxkqT3A18HhgK/LA6lyfv6FsIGy1MKXgHcERHH5XV/AzYAboqI/8jr3q7q53vhPZypxbh0MUjk\nALoqMJk07vN7wCuSFouIfwDHkOan/LKkD5ft6wDaAMXJXPIwsh8D50oaIuke4D5gLWCbPOSMYlup\nA2hrchAdXD4A/DUizpS0OOkZSRdLOo9Upf8hcBdwdxPz2JFK1XBJy0vaHSAirgaeJA2mfzwiDgBm\nAz8DnvA43PbgQbodrEL72T+BlSRNBkaQ7oO/FjgM2CAifgvcn/ddZFYg67tCJ9JKwLeBD0l6LSJ+\nmwPrAtIUg0uSBtbPizzRtb+H1ucg2qEKP9wVSAFz6Yi4N/f6fgB4KfJTIfP4xBXya0XiH26D5O9h\nfVJH0d+BVYHDJI2IiEuAx0i32P6ZNOHLxvD2d+HvocW5Y6kDFaqO6wGXkaqM7ycN4D4qImbl9rnh\npMftvp80ka/b3PpBnp/gj8C1EXFCvuX2O6Q/XOdExHV5aNnKwO056LoTqU24TbQD5QA6ijSZxWnA\nzqRZfzYmdWYATAROBFYDNsr3YLsNrn8sBF4hPZeKfBfS0aTHepwsaZeIeDQibi3NSeAA2j4cRDtM\noQd4DLAAuCQiXo2Ix0jTqG0l6QsR8SCpA+Nj8c6jJNwL3wDlY2oj4nXSb+2IwrpZpD9yC4EdiyMi\n/D20FwfRDlEoRS6W/30ReI40cL5UxX+JNDvTewAi4h956FOXSz6NUbihYVVJm0jaKW86Chgt6YxC\n8o1ITSzjgL0HOq/WGO5Y6gA5QC7Ig+ZPlDQPeIk0XGaipO0jYnJOvibwQnF/d140RuF7WI80K9Yd\nwMaSPgVcBJwKHCvpEeBpYMWImJC3f1PS8CjM22rtwR1Lba5wJ9LKpFsHzyI9C2kscDBwO/AosA6p\ng2ki7kTqN/lOpN+TJks+TdLypNs6946IS3Jzyy6kP3K35bboE0hPDPhMRLzZtMxbn7gk2uZyAF0N\n2Ik0icgJ8PaPeR7wceBy4H2kzo09Sp1IbntrnMKY3KVIs2D9KG+6ivTwv0sklZ4Vf1XeZ3lJBwOH\nA5s5gLYnt4l2hrGkH+0WeVwopAB6OTCHNNnyqRHxcwfQxiq0RS+e/32ZNHHL/pKmAo9GxJ5524la\n9Cmpa5CGOW0WEdMGJMPWcK7OdwhJG5PmnzwK+G1EzMtVx3uBgyPirqZmsAMVxuN+APgBqTPvNtLN\nDJsCzxcmEvkFsDppOrsFhWMskXvvrU05iHYQSVuQhi39mtSp8Ungg8AmLnk2VqEteixproGzgVVI\ntbvFSXeJPQGsR5rKbk3gI3k4mWsCHcRBtMNI+hhwI3AzqRT67Vxa8g+3wXJb9PakOVe/lav2e5PG\n4w4FzgdGA2+Qn47qO5E6j9tEO0xETAG2IbW3/bU0AYkDaL8YC5wJfETSe/I1vhCYQhqvuw8wOQpP\nR3UA7TwOoh0oIu4AvgCcIGkvSYtV28d6L1/nj5Bund1c0lJ5zO0FwJ9INzu8UUjvP2QdyNX5Dqb0\nnPJTgK0jYk6z89Opclv0OcA3SCXP14rTEHo6u87mINrhcuno1Wbno9PlQPoT0qQul0fEG1V2sQ7h\nIGrWIJI+DnyuNKGyDQ4OomYNVOFpAtbh3LFk1kB5OJmqp7RO4ZKomVkdXBI1M6uDg6iZWR0cRM3M\n6uAgak0jaTVJIWlofj85P765v897rKQLu9m2paQnazzOAZKm9DEPfd7XWouDqPVI0uOSXpM0V9Kz\nks7PEz43XERsHxG/qDFP2/ZHHsx6y0HUarFTRIwANgQmAd8uT6DE/59s0PF/eqtZfl76ZOD9AJJu\nkXSSpNuBV4HVJS0j6eeSnpY0U9KJpdnfJQ2R9L+SZkl6DNixePx8vAML7w+S9E9JcyQ9IGlDSReQ\nno7521w6PjKn/bCkOyS9JGmapC0Lx3mvpD/l49xIepx0TSR9Q9KjhTzs+u4kOkPSy5L+JWmbwoZu\nr4V1DgdRq5mkVYEdgHsKq/clPRBvaWA6aQ7N+aRJiD9IesZTKTAeBHwir58EfKaHc+0GHAvsB4wE\ndgZeiIh9SZMd7xQRIyLi+0oP6buOdN/6aNLz3a+QtFw+3MXAX0nB8wSgN+2uj5LmB10GOA64UNJK\nhe2b5DRjgO8CV0oanbf1dC2sQziIWi1+I+kl0jyZfwJOLmw7PyLuz/NkjiYF2a9GxLyIeI70mODS\nveS7A6dFxIyIeJE0w1R3DgS+HxF/ieSRiJjeTdp9gN/leTsXRsSNwFRgB0njgA8Bx0TEGxFxK/Db\nWj94RPw6Ip7Kx70UeBjYuJDkufyZ3srbHwR2zM+66ulaWIfw0z6tFrtExB+62Taj8Ho8MAx4unDn\nY1chzdiy9N0FRYBVSSW8WowHdpO0U2HdMOCP+Zyzy57nPj0fvypJ+wH/RZozFNJjP4rNATPL7pWf\nns9Z7VpYh3AQtXoVA8gM0iTEY7qZwf1pFg1e43o47gzS7PzVzllKe0FEHFSeUNJ4YJSk4YVAOq7C\nMd4l73sO6UkBd+bZ6e8FivfGr1w26cg44BqqXwvrEK7OW8NExNPADcD/SRopqUvSGnmuTYDLgK9I\nWkXSKNIkxt35GXCEpI1yz/+aOahBevDb6oW0FwI7SfrP3Hm1RB7vuUpuApgKHCdpMaVnUO1EbYaT\ngu3zAJI+S+5UK1g+f6ZhuR13bVLTQrVrYR3CQdQabT/S84UeAGYDlwOljphzgN8D04C/AVd2d5CI\n+DVwEqlTaA7wG1KbK6S21G/nnvgjImIG6cmm3yIFvBnAf/PO/++9SB1AL5I6f35ZyweJiAeA/wPu\nJAXuDwC3lyW7C5gAzMr5/UxEvFDDtbAO4VmczMzq4JKomVkdHETNzOrgIGpmVgcHUTOzOjiImpnV\nwUHUzKwODqJmZnVwEDUzq4ODqJlZHf4/s5tX7D2paAoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12c95c3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_confusion_matrix(matrix, title='Confusion matrix', cmap=plt.cm.Blues, labels=[\"positive\", \"negative\"]):\n",
    "    plt.imshow(matrix, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(labels))\n",
    "    plt.xticks(tick_marks, labels, rotation=45)\n",
    "    plt.yticks(tick_marks, labels)\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    \n",
    "# Compute confusion matrix\n",
    "matrix = confusion_matrix(y_test, prediction['Bernoulli'])\n",
    "np.set_printoptions(precision=2)\n",
    "plt.figure()\n",
    "plot_confusion_matrix(matrix)    \n",
    "\n",
    "matrix_normalized = matrix.astype('float') / matrix.sum(axis=1)[:, np.newaxis]\n",
    "plt.figure()\n",
    "plot_confusion_matrix(matrix_normalized, title='Normalized confusion matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize the accuracy, recall and f1-score for Naive Bayes Multinomial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "   positive       0.96      0.63      0.76     29561\n",
      "   negative       0.95      1.00      0.97    225143\n",
      "\n",
      "avg / total       0.95      0.95      0.95    254704\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(metrics.classification_report(y_test, prediction['Multinomial'], target_names = [\"positive\", \"negative\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.95389157610402664"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, prediction['Multinomial'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nuj0DOLHyxklaPj+/mfWSJqdBKtevhkXE+wCU6i1eRSpmO5JUNebSwj59qrp5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\nk86k5xWnp/U0p9YMDtb9XD7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      "text/plain": [
       "<matplotlib.figure.Figure at 0x113ad0550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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83t/BAPI4UesVSco/3PWAXwIvAguBa4ELImJWUzM4SEjqioi38vdwFvAcabKO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\nWR0cRM3M6uAgamZWBwdRM7M6/H9tSF2IPxroKgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12d353f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_confusion_matrix(matrix, title='Confusion matrix', cmap=plt.cm.Blues, labels=[\"positive\", \"negative\"]):\n",
    "    plt.imshow(matrix, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(labels))\n",
    "    plt.xticks(tick_marks, labels, rotation=45)\n",
    "    plt.yticks(tick_marks, labels)\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    \n",
    "# Compute confusion matrix\n",
    "matrix = confusion_matrix(y_test, prediction['Multinomial'])\n",
    "np.set_printoptions(precision=2)\n",
    "plt.figure()\n",
    "plot_confusion_matrix(matrix)    \n",
    "\n",
    "matrix_normalized = matrix.astype('float') / matrix.sum(axis=1)[:, np.newaxis]\n",
    "plt.figure()\n",
    "plot_confusion_matrix(matrix_normalized, title='Normalized confusion matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Displaying words depicting the best and worst features\n",
    "using Logistic Model since it gave the best results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>coefficient</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1129133</th>\n",
       "      <td>worst</td>\n",
       "      <td>-23.721842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669087</th>\n",
       "      <td>not</td>\n",
       "      <td>-22.421924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459300</th>\n",
       "      <td>horrible</td>\n",
       "      <td>-21.047149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937168</th>\n",
       "      <td>terrible</td>\n",
       "      <td>-20.607067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243655</th>\n",
       "      <td>disappointing</td>\n",
       "      <td>-20.209056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131202</th>\n",
       "      <td>broke</td>\n",
       "      <td>-19.465871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754760</th>\n",
       "      <td>poor</td>\n",
       "      <td>-19.209378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239888</th>\n",
       "      <td>didn</td>\n",
       "      <td>-18.284823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74496</th>\n",
       "      <td>awful</td>\n",
       "      <td>-16.628848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038935</th>\n",
       "      <td>uncomfortable</td>\n",
       "      <td>-16.352018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077507</th>\n",
       "      <td>waste</td>\n",
       "      <td>-16.244804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1129029</th>\n",
       "      <td>worse</td>\n",
       "      <td>-15.909108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67320</th>\n",
       "      <td>at best</td>\n",
       "      <td>-15.542065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240955</th>\n",
       "      <td>didnt</td>\n",
       "      <td>-15.483119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164643</th>\n",
       "      <td>caused</td>\n",
       "      <td>-15.003217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>755273</th>\n",
       "      <td>poorly</td>\n",
       "      <td>-14.798718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036481</th>\n",
       "      <td>two stars</td>\n",
       "      <td>-14.701701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664722</th>\n",
       "      <td>no good</td>\n",
       "      <td>-14.611687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76937</th>\n",
       "      <td>bad</td>\n",
       "      <td>-14.532221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673738</th>\n",
       "      <td>not great</td>\n",
       "      <td>-14.091071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360717</th>\n",
       "      <td>garbage</td>\n",
       "      <td>-13.885221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512533</th>\n",
       "      <td>junk</td>\n",
       "      <td>-13.579574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243799</th>\n",
       "      <td>disappointment</td>\n",
       "      <td>-13.519999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708682</th>\n",
       "      <td>one star</td>\n",
       "      <td>-13.479054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253031</th>\n",
       "      <td>dont</td>\n",
       "      <td>-13.397531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67053</th>\n",
       "      <td>at all</td>\n",
       "      <td>-13.395272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211426</th>\n",
       "      <td>crap</td>\n",
       "      <td>-13.143476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666488</th>\n",
       "      <td>no results</td>\n",
       "      <td>-13.037724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920246</th>\n",
       "      <td>sucks</td>\n",
       "      <td>-13.005533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021237</th>\n",
       "      <td>too</td>\n",
       "      <td>-12.974265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516124</th>\n",
       "      <td>just what</td>\n",
       "      <td>11.726500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1119309</th>\n",
       "      <td>wonderful</td>\n",
       "      <td>11.785454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240118</th>\n",
       "      <td>didn fail</td>\n",
       "      <td>12.002174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670831</th>\n",
       "      <td>not cheap</td>\n",
       "      <td>12.154520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100229</th>\n",
       "      <td>why not</td>\n",
       "      <td>12.269150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021720</th>\n",
       "      <td>too cute</td>\n",
       "      <td>12.331722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127751</th>\n",
       "      <td>works well</td>\n",
       "      <td>12.352865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576906</th>\n",
       "      <td>lovely</td>\n",
       "      <td>12.618118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106302</th>\n",
       "      <td>better than</td>\n",
       "      <td>12.812104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299519</th>\n",
       "      <td>favorite</td>\n",
       "      <td>13.165342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674541</th>\n",
       "      <td>not junk</td>\n",
       "      <td>13.657217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450820</th>\n",
       "      <td>helps</td>\n",
       "      <td>13.734039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578459</th>\n",
       "      <td>loves</td>\n",
       "      <td>13.904978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677918</th>\n",
       "      <td>not so bad</td>\n",
       "      <td>14.179436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307716</th>\n",
       "      <td>finally</td>\n",
       "      <td>14.262349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376552</th>\n",
       "      <td>good</td>\n",
       "      <td>14.680848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295721</th>\n",
       "      <td>fantastic</td>\n",
       "      <td>15.035073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671442</th>\n",
       "      <td>not disappointment</td>\n",
       "      <td>15.510066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20370</th>\n",
       "      <td>amazing</td>\n",
       "      <td>15.586652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671429</th>\n",
       "      <td>not disappointed</td>\n",
       "      <td>16.517949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566887</th>\n",
       "      <td>love</td>\n",
       "      <td>17.297877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71812</th>\n",
       "      <td>awesome</td>\n",
       "      <td>17.893004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679735</th>\n",
       "      <td>not too</td>\n",
       "      <td>18.049412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96964</th>\n",
       "      <td>best</td>\n",
       "      <td>19.382181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673667</th>\n",
       "      <td>not greasy</td>\n",
       "      <td>19.713554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674212</th>\n",
       "      <td>not horrible</td>\n",
       "      <td>19.784011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736510</th>\n",
       "      <td>perfect</td>\n",
       "      <td>20.828358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279386</th>\n",
       "      <td>excellent</td>\n",
       "      <td>21.072047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670005</th>\n",
       "      <td>not bad</td>\n",
       "      <td>26.799214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396471</th>\n",
       "      <td>great</td>\n",
       "      <td>29.833182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1148331 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    feature  coefficient\n",
       "1129133               worst   -23.721842\n",
       "669087                  not   -22.421924\n",
       "459300             horrible   -21.047149\n",
       "937168             terrible   -20.607067\n",
       "243655        disappointing   -20.209056\n",
       "131202                broke   -19.465871\n",
       "754760                 poor   -19.209378\n",
       "239888                 didn   -18.284823\n",
       "74496                 awful   -16.628848\n",
       "1038935       uncomfortable   -16.352018\n",
       "1077507               waste   -16.244804\n",
       "1129029               worse   -15.909108\n",
       "67320               at best   -15.542065\n",
       "240955                didnt   -15.483119\n",
       "164643               caused   -15.003217\n",
       "755273               poorly   -14.798718\n",
       "1036481           two stars   -14.701701\n",
       "664722              no good   -14.611687\n",
       "76937                   bad   -14.532221\n",
       "673738            not great   -14.091071\n",
       "360717              garbage   -13.885221\n",
       "512533                 junk   -13.579574\n",
       "243799       disappointment   -13.519999\n",
       "708682             one star   -13.479054\n",
       "253031                 dont   -13.397531\n",
       "67053                at all   -13.395272\n",
       "211426                 crap   -13.143476\n",
       "666488           no results   -13.037724\n",
       "920246                sucks   -13.005533\n",
       "1021237                 too   -12.974265\n",
       "...                     ...          ...\n",
       "516124            just what    11.726500\n",
       "1119309           wonderful    11.785454\n",
       "240118            didn fail    12.002174\n",
       "670831            not cheap    12.154520\n",
       "1100229             why not    12.269150\n",
       "1021720            too cute    12.331722\n",
       "1127751          works well    12.352865\n",
       "576906               lovely    12.618118\n",
       "106302          better than    12.812104\n",
       "299519             favorite    13.165342\n",
       "674541             not junk    13.657217\n",
       "450820                helps    13.734039\n",
       "578459                loves    13.904978\n",
       "677918           not so bad    14.179436\n",
       "307716              finally    14.262349\n",
       "376552                 good    14.680848\n",
       "295721            fantastic    15.035073\n",
       "671442   not disappointment    15.510066\n",
       "20370               amazing    15.586652\n",
       "671429     not disappointed    16.517949\n",
       "566887                 love    17.297877\n",
       "71812               awesome    17.893004\n",
       "679735              not too    18.049412\n",
       "96964                  best    19.382181\n",
       "673667           not greasy    19.713554\n",
       "674212         not horrible    19.784011\n",
       "736510              perfect    20.828358\n",
       "279386            excellent    21.072047\n",
       "670005              not bad    26.799214\n",
       "396471                great    29.833182\n",
       "\n",
       "[1148331 rows x 2 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = countVector.get_feature_names()\n",
    "feature_coefs = pd.DataFrame(\n",
    "    data = list(zip(features, logreg_result.coef_[0])),\n",
    "    columns = ['feature', 'coefficient'])\n",
    "\n",
    "feature_coefs.sort_values(by='coefficient')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing the sentiments of few reviews "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample estimated as POSITIVE: negative prob 0.003317, positive prob 0.996683\n",
      "Sample estimated as NEGATIVE: negative prob 0.998970, positive prob 0.001030\n",
      "Sample estimated as NEGATIVE: negative prob 0.934181, positive prob 0.065819\n"
     ]
    }
   ],
   "source": [
    "def testSentiments(model, testData):\n",
    "    testCounts = countVector.transform([testData])\n",
    "    testTfidf = tfidf_transformer.transform(testCounts)\n",
    "    result = model.predict(testTfidf)[0]\n",
    "    probability = model.predict_proba(testTfidf)[0]\n",
    "    print(\"Sample estimated as %s: negative prob %f, positive prob %f\" % (result.upper(), probability[0], probability[1]))\n",
    "\n",
    "testSentiments(logreg, \"Heavenly Highway Hymns\")\n",
    "testSentiments(logreg, \"Very oily and creamy. Not at all what I expected... ordered this to try to highlight and contour and it just looked awful!!! Plus, took FOREVER to arrive.\")\n",
    "testSentiments(logreg, \"Nasty smelling shampoo!.\")"
   ]
  }
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